About Entourage We're building the infrastructure layer that will power the next generation of AI agents. Building on the insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a protocol that enables collective learning through a shared memory layer where mutually distrusting agents can exchange and validate their experiences. This protocol transforms individual code actions, trajectories and experiences into network-wide intelligence, similar to how open source software compounds value through collaborative improvement. As AI systems progress towards greater autonomy, the ability to learn from a larger pool of episodic experiences becomes crucial for accelerating collective intelligence while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability. Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent economy where AI systems discover capabilities, learn collectively, and collaborate to create value. About Moonsong Labs Project "Entourage" is incubated by Moonsong Labs, a cutting-edge Web3 and AI venture studio driving next-wave developer and end-user adoption. Moonsong Labs creates software infrastructure and protocols at the intersection of Web3 and AI, disrupting traditional industries, empowering individuals, and fostering a more equitable digital landscape. Projects include: Kluster.ai - Decentralised optimisation platform for open-source models Moonbeam - EVM-compatible L1 blockchain optimised for cross-chain use cases Tanssi - Decentralised AppChain infrastructure secured via Restaking Your role as CTO and co-founder: Defining and refining technical vision, end-to-end architectures spanning AI, services, infrastructure, and data architectures, roadmaps, and key decisions on technology stacks, integrations, scalability, and security. Recruiting, hiring, mentoring, and managing a world-class AI development team. Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem. Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into product development. Collaborating closely with the CEO, COO, Product, Biz Dev, and stakeholders to shape the platform's evolution. Supporting initial customer acquisition and investor conversations by articulating our unique technical approach and market vision. Helping build a vibrant developer community around dynamic action discovery and agent collaboration. Evangelising our vision and technology at conferences/events and establishing thought leadership in the agent infrastructure space. Required Skills and Experience: Previous experience as a Founder, CTO, VP of Engineering, or AI Scientist in AI infrastructure, with proven leadership managing multidisciplinary teams and delivering complex software platforms and AI-native products. Deep expertise in Generative AI, Deep Learning, Reinforcement Learning, ML fundamentals, end-to-end MLOps, AI infrastructure, and proficiency with frameworks like PyTorch. Active interest and experience in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration. Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story's Agent TCP/IP, Near's AITP), distributed systems, federated learning, distributed AI architectures, and consensus mechanisms. Strategic thinking about platform adoption, scalable developer ecosystems, and familiarity with Blockchain, Web3, and tokenomics (beneficial but not required). Postgraduate degree in a STEM field (Master's required; PhD strongly preferred). Ready to Shape the Future? Join Us Today! Equal Opportunity is the law, and at Moonsong Labs, we are ardently committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a specific need that requires accommodation, please let us know.
Apr 26, 2025
Full time
About Entourage We're building the infrastructure layer that will power the next generation of AI agents. Building on the insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a protocol that enables collective learning through a shared memory layer where mutually distrusting agents can exchange and validate their experiences. This protocol transforms individual code actions, trajectories and experiences into network-wide intelligence, similar to how open source software compounds value through collaborative improvement. As AI systems progress towards greater autonomy, the ability to learn from a larger pool of episodic experiences becomes crucial for accelerating collective intelligence while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability. Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent economy where AI systems discover capabilities, learn collectively, and collaborate to create value. About Moonsong Labs Project "Entourage" is incubated by Moonsong Labs, a cutting-edge Web3 and AI venture studio driving next-wave developer and end-user adoption. Moonsong Labs creates software infrastructure and protocols at the intersection of Web3 and AI, disrupting traditional industries, empowering individuals, and fostering a more equitable digital landscape. Projects include: Kluster.ai - Decentralised optimisation platform for open-source models Moonbeam - EVM-compatible L1 blockchain optimised for cross-chain use cases Tanssi - Decentralised AppChain infrastructure secured via Restaking Your role as CTO and co-founder: Defining and refining technical vision, end-to-end architectures spanning AI, services, infrastructure, and data architectures, roadmaps, and key decisions on technology stacks, integrations, scalability, and security. Recruiting, hiring, mentoring, and managing a world-class AI development team. Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem. Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into product development. Collaborating closely with the CEO, COO, Product, Biz Dev, and stakeholders to shape the platform's evolution. Supporting initial customer acquisition and investor conversations by articulating our unique technical approach and market vision. Helping build a vibrant developer community around dynamic action discovery and agent collaboration. Evangelising our vision and technology at conferences/events and establishing thought leadership in the agent infrastructure space. Required Skills and Experience: Previous experience as a Founder, CTO, VP of Engineering, or AI Scientist in AI infrastructure, with proven leadership managing multidisciplinary teams and delivering complex software platforms and AI-native products. Deep expertise in Generative AI, Deep Learning, Reinforcement Learning, ML fundamentals, end-to-end MLOps, AI infrastructure, and proficiency with frameworks like PyTorch. Active interest and experience in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration. Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story's Agent TCP/IP, Near's AITP), distributed systems, federated learning, distributed AI architectures, and consensus mechanisms. Strategic thinking about platform adoption, scalable developer ecosystems, and familiarity with Blockchain, Web3, and tokenomics (beneficial but not required). Postgraduate degree in a STEM field (Master's required; PhD strongly preferred). Ready to Shape the Future? Join Us Today! Equal Opportunity is the law, and at Moonsong Labs, we are ardently committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a specific need that requires accommodation, please let us know.
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures. Responsibilities: Designing and implementing from scratch new information architecture strategies Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures Building "hard" knowledge base eval sets to help identify failure modes of how language models work with external data Designing and evaluating advanced agentic search capabilities. You may be a good fit if you: Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using Have good machine learning research experience Have experience developing software that utilizes Large Language Models such as Claude Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to partner with world-class ML researchers to develop new LLM capabilities Care about the societal impacts of your work Have clear written and verbal communication Strong candidates will also have experience with: Collaborating with product teams to quickly prototype and deliver innovative solutions Building complex agentic systems that utilize LLMs Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing The expected salary range for this position is: Annual Salary: £250,000 - £340,000 GBP Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Apr 26, 2025
Full time
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures. Responsibilities: Designing and implementing from scratch new information architecture strategies Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures Building "hard" knowledge base eval sets to help identify failure modes of how language models work with external data Designing and evaluating advanced agentic search capabilities. You may be a good fit if you: Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using Have good machine learning research experience Have experience developing software that utilizes Large Language Models such as Claude Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to partner with world-class ML researchers to develop new LLM capabilities Care about the societal impacts of your work Have clear written and verbal communication Strong candidates will also have experience with: Collaborating with product teams to quickly prototype and deliver innovative solutions Building complex agentic systems that utilize LLMs Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing The expected salary range for this position is: Annual Salary: £250,000 - £340,000 GBP Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposal/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You will work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Posted: February 13, 2025 (Updated about 12 hours ago)
Apr 26, 2025
Full time
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposal/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You will work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Posted: February 13, 2025 (Updated about 12 hours ago)
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Commerce, Data & Identity provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. We are looking for a Senior Product Manager to help deliver the best consumer-facing commerce services in the world. Part of the rapidly growing Commerce Product team, you will be tasked with defining and supporting key aspects of our commerce experiences as part of the Subscription and Billing group. This role functions as a day-to-day liaison between business, data and analytics, technology and product organizations to maximize commerce objectives. The ideal candidate is collaborative, makes data-driven decisions, obsesses about the customer, forms strong yet loosely held opinions, and can build trust with all areas of the business. We value passionate product leadership that drives with discipline and attention to detail. Responsibilities: Establish product strategy for the next generation commerce platform that powers Disney+, ESPN+, Hulu, and Star+ consumer experiences. Deliver features that allow us to continue to scale our services globally. Foster data-driven prioritization of features and set measurable objectives. Provide domain expertise and leadership for features and systems in your portfolio. Work cross functionally with members of the product team, legal teams, data & analytics teams, customer service teams, localization teams and more, to identify requirements for new features. Maintain all necessary JIRA tasks, boards and detailed documentation across teams, as well as all necessary communication to internal stakeholders. Collaborate and coordinate with engineering, design, marketing, product leadership, analytics and business insight teams on objectives and business requirements. Translate inputs and business needs into detailed product requirements documents and user stories for engineering teams to execute. Develop a product roadmap that accomplishes business/customer goals and aligns with the team charter. Basic Qualifications: 7+ years of product management experience, supporting large scale efforts, and supporting internationally distributed digital products. Familiarity with the streaming video industry, understanding the different value propositions that all the market leaders offer their customers. Direct experience using JIRA and other product and project management tools. Excellent written and oral communication skills, with an ability to coordinate multiple projects at a time while providing updates to individuals at varying leadership capacities. Act as an analytical thinker with strong problem-solving skills, with an ability to make quick decisions to solve complex technical and operational challenges. Familiarity with working on projects with distributed teams, making use of technology and process to overcome the challenges of working with remote staff. Bachelor's degree in a related field. Preferred Qualifications: Masters Degree in a related field. Related Certification/s. Experience supporting subscription products. The hiring range for this position in Santa Monica, CA is $152,200 to $204,100 per year, in Seattle, WA is $159,500 to $213,900 per year, and in New York, NY is $159,500 to $213,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Apr 26, 2025
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Commerce, Data & Identity provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. We are looking for a Senior Product Manager to help deliver the best consumer-facing commerce services in the world. Part of the rapidly growing Commerce Product team, you will be tasked with defining and supporting key aspects of our commerce experiences as part of the Subscription and Billing group. This role functions as a day-to-day liaison between business, data and analytics, technology and product organizations to maximize commerce objectives. The ideal candidate is collaborative, makes data-driven decisions, obsesses about the customer, forms strong yet loosely held opinions, and can build trust with all areas of the business. We value passionate product leadership that drives with discipline and attention to detail. Responsibilities: Establish product strategy for the next generation commerce platform that powers Disney+, ESPN+, Hulu, and Star+ consumer experiences. Deliver features that allow us to continue to scale our services globally. Foster data-driven prioritization of features and set measurable objectives. Provide domain expertise and leadership for features and systems in your portfolio. Work cross functionally with members of the product team, legal teams, data & analytics teams, customer service teams, localization teams and more, to identify requirements for new features. Maintain all necessary JIRA tasks, boards and detailed documentation across teams, as well as all necessary communication to internal stakeholders. Collaborate and coordinate with engineering, design, marketing, product leadership, analytics and business insight teams on objectives and business requirements. Translate inputs and business needs into detailed product requirements documents and user stories for engineering teams to execute. Develop a product roadmap that accomplishes business/customer goals and aligns with the team charter. Basic Qualifications: 7+ years of product management experience, supporting large scale efforts, and supporting internationally distributed digital products. Familiarity with the streaming video industry, understanding the different value propositions that all the market leaders offer their customers. Direct experience using JIRA and other product and project management tools. Excellent written and oral communication skills, with an ability to coordinate multiple projects at a time while providing updates to individuals at varying leadership capacities. Act as an analytical thinker with strong problem-solving skills, with an ability to make quick decisions to solve complex technical and operational challenges. Familiarity with working on projects with distributed teams, making use of technology and process to overcome the challenges of working with remote staff. Bachelor's degree in a related field. Preferred Qualifications: Masters Degree in a related field. Related Certification/s. Experience supporting subscription products. The hiring range for this position in Santa Monica, CA is $152,200 to $204,100 per year, in Seattle, WA is $159,500 to $213,900 per year, and in New York, NY is $159,500 to $213,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
About the role As an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis' client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions. You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact. At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. AI Integration into HR, Workforce Management, and Payroll Systems Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules. Automating repetitive HR tasks like payroll processing and compliance checks. Implementing AI-driven workforce forecasting and scheduling. Developing AI-powered insights for HR leaders to improve talent management. Enhancing employee self-service with AI bots, assistants, and workspaces. AI Ethics, Privacy, and Security Designing AI systems that are safe, unbiased, and compliant with GDPR. Working with Legal teams to assess and mitigate AI-related risks. Ensuring AI models do not reinforce biases in HR processes. Implementing privacy-preserving techniques in AI solutions. Collaboration and Cross-Functional Work Working with Product Managers, Engineers, and business stakeholders to define AI goals. Communicating AI concepts in a business-friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry conferences. Prototype and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python / other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI Awareness of AI ethics, bias mitigation, and fairness in models. Understanding of GDPR and compliance frameworks for AI in HR applications. Ability to design fair and interpretable AI systems. Problem Solving and Critical Thinking Strong analytical skills to improve AI model performance. Ability to develop innovative AI-driven solutions for business challenges. Business Acumen and HR Domain Knowledge Understanding of HR, payroll, and workforce management processes would be advantageous. Ability to translate AI research into commercially viable products. Experience working with HR datasets and organisational analytics. Collaboration and Communication Ability to explain AI concepts to non-technical stakeholders. Experience working in cross-functional teams. Strong documentation skills for AI research and best practices. Enthusiasm for mentoring and knowledge sharing. Adaptability and Continuous Learning Ability to work in a fast-paced, entrepreneurial setting. Willingness to experiment with emerging AI technologies. Commitment to ongoing learning in AI and HR tech. Strategic and product-focused thinking. Vision for AI-driven business expansion at Zellis. Focus on delivering measurable AI value to HR professionals. Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & Culture At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from our 3,000+ colleagues, we live and breathe every day: Unstoppable together. Always learning. Make it count. Think scale. Our people are critical to our ongoing success; we're proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you'll have the chance to stretch and challenge yourself in an environment that's varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you'll receive: A competitive base salary. 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday. Private medical insurance. Life assurance 4x salary. Enhanced pension scheme with company contributions up to 8.5%. A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure.
Apr 26, 2025
Full time
About the role As an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis' client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions. You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact. At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. AI Integration into HR, Workforce Management, and Payroll Systems Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules. Automating repetitive HR tasks like payroll processing and compliance checks. Implementing AI-driven workforce forecasting and scheduling. Developing AI-powered insights for HR leaders to improve talent management. Enhancing employee self-service with AI bots, assistants, and workspaces. AI Ethics, Privacy, and Security Designing AI systems that are safe, unbiased, and compliant with GDPR. Working with Legal teams to assess and mitigate AI-related risks. Ensuring AI models do not reinforce biases in HR processes. Implementing privacy-preserving techniques in AI solutions. Collaboration and Cross-Functional Work Working with Product Managers, Engineers, and business stakeholders to define AI goals. Communicating AI concepts in a business-friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry conferences. Prototype and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python / other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI Awareness of AI ethics, bias mitigation, and fairness in models. Understanding of GDPR and compliance frameworks for AI in HR applications. Ability to design fair and interpretable AI systems. Problem Solving and Critical Thinking Strong analytical skills to improve AI model performance. Ability to develop innovative AI-driven solutions for business challenges. Business Acumen and HR Domain Knowledge Understanding of HR, payroll, and workforce management processes would be advantageous. Ability to translate AI research into commercially viable products. Experience working with HR datasets and organisational analytics. Collaboration and Communication Ability to explain AI concepts to non-technical stakeholders. Experience working in cross-functional teams. Strong documentation skills for AI research and best practices. Enthusiasm for mentoring and knowledge sharing. Adaptability and Continuous Learning Ability to work in a fast-paced, entrepreneurial setting. Willingness to experiment with emerging AI technologies. Commitment to ongoing learning in AI and HR tech. Strategic and product-focused thinking. Vision for AI-driven business expansion at Zellis. Focus on delivering measurable AI value to HR professionals. Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & Culture At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from our 3,000+ colleagues, we live and breathe every day: Unstoppable together. Always learning. Make it count. Think scale. Our people are critical to our ongoing success; we're proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you'll have the chance to stretch and challenge yourself in an environment that's varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you'll receive: A competitive base salary. 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday. Private medical insurance. Life assurance 4x salary. Enhanced pension scheme with company contributions up to 8.5%. A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure.
Applied Scientist III, Advertising Trust Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world's largest product catalogs, handle billions of requests a day with plans to grow it by order of magnitude, and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day. BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Apr 25, 2025
Full time
Applied Scientist III, Advertising Trust Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world's largest product catalogs, handle billions of requests a day with plans to grow it by order of magnitude, and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day. BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Locus Robotics is a global leader in warehouse automation, delivering unmatched flexibility and unlimited throughput, and actionable intelligence to optimize operations. Powered by LocusONE, an AI-driven platform, our advanced autonomous mobile robots seamlessly integrate into existing warehouse environments to enhance efficiency, reduce costs, and scale operations with ease. Trusted by over 150 industry leading retail, healthcare, 3PL, and industrial brands in over 350 sites worldwide, Locus enables warehouse operators to achieve rapid ROI, minimize labor costs, and continuously improve productivity. Our industry-first Robots-as-a-Service (RaaS) model ensures ongoing innovation, scalability, and cost-effectiveness without the burden of significant capital investments. With proven capabilities in diverse workflows-from picking and replenishment to sorting and pack-out-Locus Robotics empowers businesses to meet peak demands and adapt to ever-changing operational needs. Are you a Machine Learning Engineer with a passion for reinforcement learning, multi-agent systems, and simulation at scale? We want to hear from you! At Locus Robotics, we're developing advanced simulation tools and ML systems to optimize the behavior of large autonomous fleets in dynamic environments. In this role, you will work on cutting-edge reinforcement learning (RL) models, multi-agent systems, and faster-than-real-time simulations to drive innovation in logistics, robotics, and beyond. You'll collaborate with a highly skilled team of engineers and data scientists to develop scalable ML models and deploy them into production environments using modern MLOps practices. If you're excited about solving real-world optimization problems, building high-performance ML infrastructure, and working with autonomous agent simulations, this is your opportunity to make a significant impact. This is a remote position based in England, Scotland, Portugal, Poland, or Spain. Candidates must be authorized to work in one of these countries without the need for work sponsorship. Responsibilities: Utilize, develop, and enhance simulation tooling and infrastructure to enable faster-than-real-time modelling of 1,000+ autonomous agents for various use cases such as fleet optimization, logistics, or robotics. Develop, deploy, and maintain machine learning models, with a strong focus on reinforcement learning (RL) and multi-agent systems to optimize fleet behavior in dynamic environments. Implement and improve MLOps pipelines to support continuous training, deployment, monitoring, and scaling of machine learning models in production. Collaborate with data engineers and software developers to ensure seamless integration of machine learning models with existing infrastructure and data pipelines. Stay up to date with advancements in reinforcement learning, distributed computing, and ML frameworks to drive innovation in the organization. Work with cloud-based solutions (AWS, GCP, or Azure) to deploy and manage machine learning workloads in a scalable manner. Qualifications: Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, or a related field. 4+ years of hands-on experience designing and deploying machine learning models in production, with a focus on reinforcement learning (RL) and multi-agent systems (MAS). Advanced Python programming skills, with a strong emphasis on writing efficient, scalable, and maintainable code. Proven experience with TensorFlow/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or Pandas for high-performance data processing. Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization and orchestration using Docker and Kubernetes. Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3. Practical knowledge of optimization algorithms and probabilistic modeling techniques (e.g., Bayesian methods, Gaussian Belief Propagation). Experience integrating models into real-time decision-making systems or multi-agent RL environments (MARL). Exposure to spatiotemporal data analysis, including time-series anomaly detection and forecasting. Familiarity with ROS (Robot Operating System) for robotics or simulation integration. Publications in top-tier conferences/journals (e.g., NeurIPS, ICML, ICRA, CVPR, ECCV, ICCV) are a plus. Proficient English written and verbal communication skills required to collaborate effectively with internal and external teams. Excellent analytical and problem-solving skills, with the ability to contribute effectively in a collaborative team environment.
Apr 25, 2025
Full time
Locus Robotics is a global leader in warehouse automation, delivering unmatched flexibility and unlimited throughput, and actionable intelligence to optimize operations. Powered by LocusONE, an AI-driven platform, our advanced autonomous mobile robots seamlessly integrate into existing warehouse environments to enhance efficiency, reduce costs, and scale operations with ease. Trusted by over 150 industry leading retail, healthcare, 3PL, and industrial brands in over 350 sites worldwide, Locus enables warehouse operators to achieve rapid ROI, minimize labor costs, and continuously improve productivity. Our industry-first Robots-as-a-Service (RaaS) model ensures ongoing innovation, scalability, and cost-effectiveness without the burden of significant capital investments. With proven capabilities in diverse workflows-from picking and replenishment to sorting and pack-out-Locus Robotics empowers businesses to meet peak demands and adapt to ever-changing operational needs. Are you a Machine Learning Engineer with a passion for reinforcement learning, multi-agent systems, and simulation at scale? We want to hear from you! At Locus Robotics, we're developing advanced simulation tools and ML systems to optimize the behavior of large autonomous fleets in dynamic environments. In this role, you will work on cutting-edge reinforcement learning (RL) models, multi-agent systems, and faster-than-real-time simulations to drive innovation in logistics, robotics, and beyond. You'll collaborate with a highly skilled team of engineers and data scientists to develop scalable ML models and deploy them into production environments using modern MLOps practices. If you're excited about solving real-world optimization problems, building high-performance ML infrastructure, and working with autonomous agent simulations, this is your opportunity to make a significant impact. This is a remote position based in England, Scotland, Portugal, Poland, or Spain. Candidates must be authorized to work in one of these countries without the need for work sponsorship. Responsibilities: Utilize, develop, and enhance simulation tooling and infrastructure to enable faster-than-real-time modelling of 1,000+ autonomous agents for various use cases such as fleet optimization, logistics, or robotics. Develop, deploy, and maintain machine learning models, with a strong focus on reinforcement learning (RL) and multi-agent systems to optimize fleet behavior in dynamic environments. Implement and improve MLOps pipelines to support continuous training, deployment, monitoring, and scaling of machine learning models in production. Collaborate with data engineers and software developers to ensure seamless integration of machine learning models with existing infrastructure and data pipelines. Stay up to date with advancements in reinforcement learning, distributed computing, and ML frameworks to drive innovation in the organization. Work with cloud-based solutions (AWS, GCP, or Azure) to deploy and manage machine learning workloads in a scalable manner. Qualifications: Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, or a related field. 4+ years of hands-on experience designing and deploying machine learning models in production, with a focus on reinforcement learning (RL) and multi-agent systems (MAS). Advanced Python programming skills, with a strong emphasis on writing efficient, scalable, and maintainable code. Proven experience with TensorFlow/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or Pandas for high-performance data processing. Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization and orchestration using Docker and Kubernetes. Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3. Practical knowledge of optimization algorithms and probabilistic modeling techniques (e.g., Bayesian methods, Gaussian Belief Propagation). Experience integrating models into real-time decision-making systems or multi-agent RL environments (MARL). Exposure to spatiotemporal data analysis, including time-series anomaly detection and forecasting. Familiarity with ROS (Robot Operating System) for robotics or simulation integration. Publications in top-tier conferences/journals (e.g., NeurIPS, ICML, ICRA, CVPR, ECCV, ICCV) are a plus. Proficient English written and verbal communication skills required to collaborate effectively with internal and external teams. Excellent analytical and problem-solving skills, with the ability to contribute effectively in a collaborative team environment.
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo. The Credit Platform is a new team with a mission to empower Monzo's credit teams to become the best credit teams across Europe. Making the right credit decisions is central to growing Monzo safely - and we aspire to be industry leaders in how we operate. That means taking a fresh look at everything from how we ingest new data sources, develop new scorecards, propose and run credit experiments, monitor our portfolio and much more. The team's remit is to build products throughout the end-to-end credit lifecycle. These might allow our credit analysts in the UK to focus on the most impactful parts of their job by providing better ways to do both routine analysis and bespoke investigations. Or they might support our credit analysts in new countries to compose and configure a set of models and rules tailored to the local environment, without needing to start from scratch. Or they might even radically redefine how we approach credit strategy altogether. What you'll be working on: You'll lead a cross-functional team to build products that improve how we make credit decisions. You'll do this by building a deep understanding of the credit domain and needs of credit analysts, as well as understanding what is and isn't possible from commercial, operational and technical perspectives. You'll use this to set a product strategy. You'll communicate effectively with people of all levels of seniority. You'll get people inspired by the product vision and you'll share the right context with the right people at the right time. You'll lead planning processes and associated roadmap prioritisation to get your team working on the highest impact priorities that contribute to wider business goals. You'll work iteratively and collaboratively with credit risk, engineering (especially analytics engineers), research, data science, compliance and many others to refine your plan and execute against it effectively. You'll help to shape product strategy across Monzo by sharing insights from your work. Working closely with credit risk experts to understand the problems they're trying to solve and to identify opportunities to work better with technology. Partnering with backend and analytics engineers to explore different solutions for speeding up changes to our credit decisioning rules. Presenting your latest product strategy to stakeholders at Product Review and gathering feedback and challenge. Reasoning through trade-offs in building fast or building for future use cases. Speaking to partners and forming opinions on whether to build our own decisioning infrastructure in a new country or partner with others. You should apply if: You don't need to have worked in credit before. Instead, you might have built products to transform how internal teams work, or worked in similar optimisation domains like payments or advertising, or tackled the problem of scaling infrastructure to new geographies. You're comfortable contributing to discussions about systems architecture and fluent in data. You're not phased by going into detail about technicalities, and while you might not always be the expert on a technical topic, you learn fast. You start from first principles. You're a systems thinker: you can look at processes and technology and spot better ways of doing things. You're not afraid to ask the "obvious" questions and you use the answers to challenge the status quo. You're data driven, passionate about metrics, and intellectually honest about how your work is performing and driven to continuously improve it. You're full of novel ideas and creative solutions, and able to tease them out of others too. You can work effectively with a diverse range of people and working styles to get stuff done, and are able to thoughtfully and constructively challenge and influence the people you work with. You have the ability to communicate clearly and persuasively to a wide range of audiences, and in a structured way. You're a fast learner, humble and curious, and enjoy developing yourself and others. What we're doing here at Monzo excites you! The interview process: Our interview process involves 4 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 hour long interviews to assess Project Walkthrough, Case Study and Leadership. A final stage with a VP or CPO within the Product team Our average process takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on . What's in it for you: £95,000 to £125,000 depending on experience, stock options & benefits. We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here . If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage. Apply for this job indicates a required field
Apr 25, 2025
Full time
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo. The Credit Platform is a new team with a mission to empower Monzo's credit teams to become the best credit teams across Europe. Making the right credit decisions is central to growing Monzo safely - and we aspire to be industry leaders in how we operate. That means taking a fresh look at everything from how we ingest new data sources, develop new scorecards, propose and run credit experiments, monitor our portfolio and much more. The team's remit is to build products throughout the end-to-end credit lifecycle. These might allow our credit analysts in the UK to focus on the most impactful parts of their job by providing better ways to do both routine analysis and bespoke investigations. Or they might support our credit analysts in new countries to compose and configure a set of models and rules tailored to the local environment, without needing to start from scratch. Or they might even radically redefine how we approach credit strategy altogether. What you'll be working on: You'll lead a cross-functional team to build products that improve how we make credit decisions. You'll do this by building a deep understanding of the credit domain and needs of credit analysts, as well as understanding what is and isn't possible from commercial, operational and technical perspectives. You'll use this to set a product strategy. You'll communicate effectively with people of all levels of seniority. You'll get people inspired by the product vision and you'll share the right context with the right people at the right time. You'll lead planning processes and associated roadmap prioritisation to get your team working on the highest impact priorities that contribute to wider business goals. You'll work iteratively and collaboratively with credit risk, engineering (especially analytics engineers), research, data science, compliance and many others to refine your plan and execute against it effectively. You'll help to shape product strategy across Monzo by sharing insights from your work. Working closely with credit risk experts to understand the problems they're trying to solve and to identify opportunities to work better with technology. Partnering with backend and analytics engineers to explore different solutions for speeding up changes to our credit decisioning rules. Presenting your latest product strategy to stakeholders at Product Review and gathering feedback and challenge. Reasoning through trade-offs in building fast or building for future use cases. Speaking to partners and forming opinions on whether to build our own decisioning infrastructure in a new country or partner with others. You should apply if: You don't need to have worked in credit before. Instead, you might have built products to transform how internal teams work, or worked in similar optimisation domains like payments or advertising, or tackled the problem of scaling infrastructure to new geographies. You're comfortable contributing to discussions about systems architecture and fluent in data. You're not phased by going into detail about technicalities, and while you might not always be the expert on a technical topic, you learn fast. You start from first principles. You're a systems thinker: you can look at processes and technology and spot better ways of doing things. You're not afraid to ask the "obvious" questions and you use the answers to challenge the status quo. You're data driven, passionate about metrics, and intellectually honest about how your work is performing and driven to continuously improve it. You're full of novel ideas and creative solutions, and able to tease them out of others too. You can work effectively with a diverse range of people and working styles to get stuff done, and are able to thoughtfully and constructively challenge and influence the people you work with. You have the ability to communicate clearly and persuasively to a wide range of audiences, and in a structured way. You're a fast learner, humble and curious, and enjoy developing yourself and others. What we're doing here at Monzo excites you! The interview process: Our interview process involves 4 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 hour long interviews to assess Project Walkthrough, Case Study and Leadership. A final stage with a VP or CPO within the Product team Our average process takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on . What's in it for you: £95,000 to £125,000 depending on experience, stock options & benefits. We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here . If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage. Apply for this job indicates a required field
Sr. Applied Scientist, Trustworthy Shopping Experience (TSE) Ops Product team Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. You set standards and proactively drive components to use and improve on state-of-the-art techniques. You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon. The team is also responsible for reducing the cost of performing the investigations, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. PhD in math/statistics/engineering or other equivalent quantitative discipline Experience with conducting research in a corporate setting Experience in patents or publications at top-tier peer-reviewed conferences or journals. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Apr 25, 2025
Full time
Sr. Applied Scientist, Trustworthy Shopping Experience (TSE) Ops Product team Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. You set standards and proactively drive components to use and improve on state-of-the-art techniques. You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon. The team is also responsible for reducing the cost of performing the investigations, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. PhD in math/statistics/engineering or other equivalent quantitative discipline Experience with conducting research in a corporate setting Experience in patents or publications at top-tier peer-reviewed conferences or journals. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Who we are At Choreograph, we deliver data-driven products and solutions that make advertising work better for people. Choreograph, an affiliate of GroupM, is a global data products and technology company, purpose-built for an era that demands a new approach to data management, usage, and brand growth. Data is the fuel that powers growth. The companies who best leverage data are creating unbeatable advantages over their competitors while simultaneously connecting with customers more effectively. Our goal is to help future-focused businesses use their data in ways that meet savvy customers' expectations while building trust and understanding. Who we are looking for As our Director of Engineering, you will lead the development of state-of-the-art agency tools and systems and manage a team of highly talented software engineers. You will take our technological capabilities in business operations to the level of world-class thought leadership and ultimate efficiency. The role is of high visibility and scope. At Choreograph, you will collaborate with a group of quick-witted, humorous, and extremely dedicated coworkers and clients who are all passionate about digital media. The Choreograph work environment is inviting. You will work in an open, modern space where you will often find groups in casual brainstorming sessions sharing ideas and strategies for new initiatives. Everyone has a voice at Choreograph, and we are open to new ways of thinking, especially those that will contribute to the overall success of Choreograph. Opinions and ideas are always welcomed, in fact, they are encouraged! We believe in the power of digital media to transform the way businesses and consumers interact. You must believe it as well. What you'll do Oversee technology development team(s) focused on business processes, workflows, integrations, and efficiencies in a highly dynamic environment requiring agility of development. Hire, train, manage, and mentor software engineers through continuous interaction and regular performance reviews. Identify appropriate goals and development opportunities for team members. Must also be able to attract and retain top-tier talent. Manage the license agreements needed for the team to run in terms of tools and infrastructure. Sit in different meetings across different departments, like product, engineering, and business to provide technical clarities to Product/Business and business needs to Engineering. Able to remove any blockers for engineers in terms of code, resources, clarification, etc. Able to chime in for code reviews and design discussions on general coding practices and futureproofing. Deliver sustainable, performing, and cost-efficient software components fulfilling product requirements in time, budget, and quality. Be a champion of agile development, fostering the culture and pushing your people to rise to the occasion and deliver products on time. Provide estimates for planned tasks - identify project dependencies/anticipate and resolve conflicts that may pose a risk to successful completion. Responsibility for full SDLC (Planning, Engineering design, Development, QA, CI/CD, and Production Support). Provide 2nd-level support for production systems. Collaborate with other engineering managers, architects, and operations to develop overall standards, process documentation, impact assessments, and operability. Manage and resolve escalations. What you'll need At least 3+ years' experience in leading teams & 5+ years' experience as a software developer. Strong knowledge of software architecture, API design, API Management, and scalable systems. Strong experience in the following: Automating business workflows and proven experience with system integrations. Jira, Confluence, and DSP integrations. Either Python or .NET and at least passing familiarity with the other. Either Angular or React and at least passing familiarity with the other. SQL, GCP, Docker. Event-driven and micro-frontend architecture styles and patterns. Enterprise scale, high concurrency, and high availability technologies and architectures. Managing globally distributed teams. Experience with building LLM-based software solutions. You have a passion for: Working with users and an ability to normalize user requirements. Looking for novel and creative solutions to complex problems. Coding not only of a formal spec but also a problem statement. Effective delegation, recognizing gaps in knowledge or experience, and pursuing proper training. Agile, Continuous Integration, automation, and Delivery as well as Componentized design. You can communicate well with business users, product managers, and senior leadership. Experience working in agencies or ad tech industry is a strong plus. Success Attributes High energy and passion for the job. Motivated, self-starter, self-reliant, resilient, and ambitious. Comfortable and thrive in a fast-paced, entrepreneurial environment. Choreograph is WPP's global data products and technology company fueling growth for the world's most admired brands. Discover more about Choreograph at
Apr 25, 2025
Full time
Who we are At Choreograph, we deliver data-driven products and solutions that make advertising work better for people. Choreograph, an affiliate of GroupM, is a global data products and technology company, purpose-built for an era that demands a new approach to data management, usage, and brand growth. Data is the fuel that powers growth. The companies who best leverage data are creating unbeatable advantages over their competitors while simultaneously connecting with customers more effectively. Our goal is to help future-focused businesses use their data in ways that meet savvy customers' expectations while building trust and understanding. Who we are looking for As our Director of Engineering, you will lead the development of state-of-the-art agency tools and systems and manage a team of highly talented software engineers. You will take our technological capabilities in business operations to the level of world-class thought leadership and ultimate efficiency. The role is of high visibility and scope. At Choreograph, you will collaborate with a group of quick-witted, humorous, and extremely dedicated coworkers and clients who are all passionate about digital media. The Choreograph work environment is inviting. You will work in an open, modern space where you will often find groups in casual brainstorming sessions sharing ideas and strategies for new initiatives. Everyone has a voice at Choreograph, and we are open to new ways of thinking, especially those that will contribute to the overall success of Choreograph. Opinions and ideas are always welcomed, in fact, they are encouraged! We believe in the power of digital media to transform the way businesses and consumers interact. You must believe it as well. What you'll do Oversee technology development team(s) focused on business processes, workflows, integrations, and efficiencies in a highly dynamic environment requiring agility of development. Hire, train, manage, and mentor software engineers through continuous interaction and regular performance reviews. Identify appropriate goals and development opportunities for team members. Must also be able to attract and retain top-tier talent. Manage the license agreements needed for the team to run in terms of tools and infrastructure. Sit in different meetings across different departments, like product, engineering, and business to provide technical clarities to Product/Business and business needs to Engineering. Able to remove any blockers for engineers in terms of code, resources, clarification, etc. Able to chime in for code reviews and design discussions on general coding practices and futureproofing. Deliver sustainable, performing, and cost-efficient software components fulfilling product requirements in time, budget, and quality. Be a champion of agile development, fostering the culture and pushing your people to rise to the occasion and deliver products on time. Provide estimates for planned tasks - identify project dependencies/anticipate and resolve conflicts that may pose a risk to successful completion. Responsibility for full SDLC (Planning, Engineering design, Development, QA, CI/CD, and Production Support). Provide 2nd-level support for production systems. Collaborate with other engineering managers, architects, and operations to develop overall standards, process documentation, impact assessments, and operability. Manage and resolve escalations. What you'll need At least 3+ years' experience in leading teams & 5+ years' experience as a software developer. Strong knowledge of software architecture, API design, API Management, and scalable systems. Strong experience in the following: Automating business workflows and proven experience with system integrations. Jira, Confluence, and DSP integrations. Either Python or .NET and at least passing familiarity with the other. Either Angular or React and at least passing familiarity with the other. SQL, GCP, Docker. Event-driven and micro-frontend architecture styles and patterns. Enterprise scale, high concurrency, and high availability technologies and architectures. Managing globally distributed teams. Experience with building LLM-based software solutions. You have a passion for: Working with users and an ability to normalize user requirements. Looking for novel and creative solutions to complex problems. Coding not only of a formal spec but also a problem statement. Effective delegation, recognizing gaps in knowledge or experience, and pursuing proper training. Agile, Continuous Integration, automation, and Delivery as well as Componentized design. You can communicate well with business users, product managers, and senior leadership. Experience working in agencies or ad tech industry is a strong plus. Success Attributes High energy and passion for the job. Motivated, self-starter, self-reliant, resilient, and ambitious. Comfortable and thrive in a fast-paced, entrepreneurial environment. Choreograph is WPP's global data products and technology company fueling growth for the world's most admired brands. Discover more about Choreograph at
System Development Engineer, GREF Tech, Finance Automation The Global Real Estate and Facilities (GREF) Tech team, part of Finance Automation, develops services, products, and tools to enable Amazon's corporate real estate team to build and operate the company's global facilities in more than 60 countries, which is the largest corporate real estate footprint in the world. We develop building systems that deliver a seamless, adaptive, and creative workspace experience to more than half a million employees. Our mission is to create technology that simplifies the processes Amazon employs to manage its corporate real estate. Our teams build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you. This role requires working with stakeholders, engineering teams, and product management to define business strategy, requirements, design, build, and delivery while ensuring security. This position involves regular communication with senior management on progress, risks, and change control. Key job responsibilities Interface with a diverse customer base to understand requirements, priorities, and processes. Monitor and maintain systems performance & capacity planning using metrics. Work on expansions of current applications to support new launches. Identify and address risks to hardware and software while helping maintain application and systems health. Work on customer issues to identify problems and develop solutions to avoid recurrence by addressing root causes. Build and rollout systems to multiple global regions for Finance customers. Create processes and systems that can be leveraged to help drive efficiencies and quality. Propose and implement new projects or recommend system improvements ensuring security standards which enable Finance Operations business. Create and update our infrastructure and security standards and ensure that the systems adhere to these standards. Work with a wide range of technologies and technical document writing. Excellent listening, writing, and technical communication skills are essential for interaction with senior management on status, risks, and emergent issues with project initiatives and support. BASIC QUALIFICATIONS Experience in automating, deploying, and supporting infrastructure. Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust. Experience with Linux/Unix. PREFERRED QUALIFICATIONS Associate's degree or above. Experience with CI/CD pipelines build processes. 2+ years of DevOps or SysOps in a large-scale software development environment experience. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Apr 25, 2025
Full time
System Development Engineer, GREF Tech, Finance Automation The Global Real Estate and Facilities (GREF) Tech team, part of Finance Automation, develops services, products, and tools to enable Amazon's corporate real estate team to build and operate the company's global facilities in more than 60 countries, which is the largest corporate real estate footprint in the world. We develop building systems that deliver a seamless, adaptive, and creative workspace experience to more than half a million employees. Our mission is to create technology that simplifies the processes Amazon employs to manage its corporate real estate. Our teams build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you. This role requires working with stakeholders, engineering teams, and product management to define business strategy, requirements, design, build, and delivery while ensuring security. This position involves regular communication with senior management on progress, risks, and change control. Key job responsibilities Interface with a diverse customer base to understand requirements, priorities, and processes. Monitor and maintain systems performance & capacity planning using metrics. Work on expansions of current applications to support new launches. Identify and address risks to hardware and software while helping maintain application and systems health. Work on customer issues to identify problems and develop solutions to avoid recurrence by addressing root causes. Build and rollout systems to multiple global regions for Finance customers. Create processes and systems that can be leveraged to help drive efficiencies and quality. Propose and implement new projects or recommend system improvements ensuring security standards which enable Finance Operations business. Create and update our infrastructure and security standards and ensure that the systems adhere to these standards. Work with a wide range of technologies and technical document writing. Excellent listening, writing, and technical communication skills are essential for interaction with senior management on status, risks, and emergent issues with project initiatives and support. BASIC QUALIFICATIONS Experience in automating, deploying, and supporting infrastructure. Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust. Experience with Linux/Unix. PREFERRED QUALIFICATIONS Associate's degree or above. Experience with CI/CD pipelines build processes. 2+ years of DevOps or SysOps in a large-scale software development environment experience. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ About the role As a Principal Product Manager in Operations, you will lead high-impact initiatives, using technologies such as ML and LLMs to enhance Monzo's award-winning customer support. As a senior member of Monzo's product team, you'll be responsible for setting a high bar for impact and execution, requiring complex stakeholder alignment and coordination across multiple cross-functional teams. You'll partner closely with directors in Product, Engineering, Data, and Design to help shape Monzo's product strategy for Customer Support and drive innovation within the team. You should apply if you: Have 5-10 years of experience successfully launching complex, high-impact products within a world-class, product-led organisation, including experience in online or mobile product management. Have led zero-to-one product launches, while maintaining operations on existing products or services. Thrive in a cross-functional environment, partnering with engineers, designers, and other teams to prioritise, design, and deliver high-quality systems and features. Possess high attention to detail and are uncompromising about user-centric design that elegantly addresses customer problems. Are data-driven and analytical, comfortable challenging assumptions or being challenged to ensure decisions are sound and well-supported by data. Lead through influence and vision, inspiring and guiding multiple teams with clarity on product direction and generating excitement around projects. Communicate effectively and persuasively with diverse audiences, structuring information to fit the audience and purpose, and handling complex information clearly. Relentlessly seek improvements, challenging the status quo to make tangible, positive changes for both customers and the business. Break down and solve complex problems systematically, applying analytical thinking and quantitative skills to identify core metrics and drivers of success. Prioritise effectively to maximise the impact of your work, balancing short-term needs with long-term strategic goals. Make sound decisions in ambiguity, understanding that in a high-stakes environment, there often isn't one "right" answer. Bring creativity and fresh ideas, contributing novel solutions and nurturing creativity within the team. Inspire and motivate, effectively rallying people towards common goals and energising others to give their best. Build trust quickly, navigating diverse perspectives and managing disagreements constructively and empathetically. Share our excitement for Monzo's mission in personal finance, and bring curiosity, humility, and a commitment to learning and growth for yourself and others. The interview process: Our interview process involves 4 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 hour long interviews to assess Project Walkthrough, Case Study and Leadership A final stage with a VP or CPO within the Product team Our average process takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: £120,000 to £160,000 depending on experience, stock options & benefits ️ We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Please describe your experience that highlights your product strategy, vision, execution and impact at a senior level? Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Keeping your data safe is really important to us. Please confirm your UK Right to Work status. We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Identity survey Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary . And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. Anonymous to Monzo . We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select
Apr 25, 2025
Full time
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ About the role As a Principal Product Manager in Operations, you will lead high-impact initiatives, using technologies such as ML and LLMs to enhance Monzo's award-winning customer support. As a senior member of Monzo's product team, you'll be responsible for setting a high bar for impact and execution, requiring complex stakeholder alignment and coordination across multiple cross-functional teams. You'll partner closely with directors in Product, Engineering, Data, and Design to help shape Monzo's product strategy for Customer Support and drive innovation within the team. You should apply if you: Have 5-10 years of experience successfully launching complex, high-impact products within a world-class, product-led organisation, including experience in online or mobile product management. Have led zero-to-one product launches, while maintaining operations on existing products or services. Thrive in a cross-functional environment, partnering with engineers, designers, and other teams to prioritise, design, and deliver high-quality systems and features. Possess high attention to detail and are uncompromising about user-centric design that elegantly addresses customer problems. Are data-driven and analytical, comfortable challenging assumptions or being challenged to ensure decisions are sound and well-supported by data. Lead through influence and vision, inspiring and guiding multiple teams with clarity on product direction and generating excitement around projects. Communicate effectively and persuasively with diverse audiences, structuring information to fit the audience and purpose, and handling complex information clearly. Relentlessly seek improvements, challenging the status quo to make tangible, positive changes for both customers and the business. Break down and solve complex problems systematically, applying analytical thinking and quantitative skills to identify core metrics and drivers of success. Prioritise effectively to maximise the impact of your work, balancing short-term needs with long-term strategic goals. Make sound decisions in ambiguity, understanding that in a high-stakes environment, there often isn't one "right" answer. Bring creativity and fresh ideas, contributing novel solutions and nurturing creativity within the team. Inspire and motivate, effectively rallying people towards common goals and energising others to give their best. Build trust quickly, navigating diverse perspectives and managing disagreements constructively and empathetically. Share our excitement for Monzo's mission in personal finance, and bring curiosity, humility, and a commitment to learning and growth for yourself and others. The interview process: Our interview process involves 4 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 hour long interviews to assess Project Walkthrough, Case Study and Leadership A final stage with a VP or CPO within the Product team Our average process takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: £120,000 to £160,000 depending on experience, stock options & benefits ️ We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Please describe your experience that highlights your product strategy, vision, execution and impact at a senior level? Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Keeping your data safe is really important to us. Please confirm your UK Right to Work status. We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Identity survey Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary . And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. Anonymous to Monzo . We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select
Welcome to Warner Bros. Discovery the stuff dreams are made of. Who We Are When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Warner Bros. has been entertaining audiences for more than 90 years through the world's most-loved characters and franchises. Warner Bros. employs people all over the world in a wide variety of disciplines. We're always on the lookout for energetic, creative people to join our team. Your New Role Site Reliability Engineering (SRE) team members work with our Global Content Delivery teams to deliver exabytes of content for our brands globally. The SRE has a highly skilled combination of engineering and operations skills and is focused on automating and improving operations. Their job is to guarantee system reliability, performance, and supportability with a strong engineering emphasis on building autonomous solutions that deliver value to end-users early, often, & fast. They are central to the reputation and trustworthiness of our services and act as an advocate for engineering best practices. WBD's Global Content Delivery team members are responsible for the management & governance all media delivery infrastructure for Max, D+, CNN, and other WBD brands globally. You will be involved from the initial design phase of figuring out the right network topology for our clients to the final stages of deploying and setting up hardware, networking, monitoring, alerting, and logging. The role requires good problem-solving skills and ability to work across several teams and partner groups. We're looking for candidates who love to learn and can adapt quickly. Your Role Accountabilities Build the orchestration build systems for managing fleets of remotely deployed servers. WBD's Global Content Delivery team manages servers globally which help deliver media to our customers globally for our largest brands. You will be a core contributor to managing the automation systems that power the control plane for these remote edge sites. Work in a full stack environment, from the control plane layer, down to physical hardware lifecycles. Be a key member of the team responsible for the entirety of our entire stack, contributing to the global control plane, to working on new revisions of hardware to deployed to the field. This team works the full stack from software, networking, operating system, to the hardware and network gear level. Design, write and deliver software and infrastructure to improve the reliability, scalability, latency, and efficiency of our services. Bring new technology thinking and lead developers to embrace new tools and innovative solutions to solve business needs. Guide Engineers to design, develop, and test for reliability, and to automate tasks for applications. Solve problems relating to mission-critical services and create solutions to prevent problem recurrence, with the goal of automating response to all non-exceptional service conditions. Influence and create new designs, architectures, standards, and methods for large-scale distributed systems. Engage in service capacity planning, service integration and geo-expansion, software performance analysis and system tuning. Candidate must be solutions-oriented using rigorous logic and methods to solve difficult problems with effective solutions, probing all sources for answers. Conduct on-call duties. Help troubleshoot incidents to address failure patterns, automate remediation through runbooks, and document application optimisation. Enable the Cloud, DevOps, Continuous Integration, and Test automation & Monitoring strategies. Coordinate with the Applications team to satisfy all non-functional project requirements (security, performance, scalability, and resiliency). Proven track record building/supporting/scaling a high transactional 24x7 environment. Collaborate with the Platform Engineering team to build tools to help automate deployments. Coordinate with relevant teams to build useful tools to support network operations (internal and external). Qualifications and Experience The Essentials: Passionate about SRE, DevOps, Automation, and infrastructure platforms. Understand the mechanical sympathy between software workloads and the demand it places on the underlying hardware. Working knowledge of non-virtualized server hardware, datacenter operations, and principles of networking. Experience with FreeBSD or other BSD based OS's. Must excel with agile and lean development practices and manage multiple priorities and multiple roles. BS Degree in Computer Science, Physics, Engineering or Mathematics or equivalent experience. Experience with build automation and CI/CD. Expertise with monitoring or log aggregation tools. Proficient in one of: Golang, Rust, C, C++, Python, Bash. Experience working AWS cloud services. Experience with containerization technologies such as Docker/Kubernetes. Expertise in problem solving and analyzing global scale systems and critical production service environments. Capable of technical deep dives into networking, service design, operating systems, and storage. Verbally and cognitively agile enough to engage in strategy discussions with leadership team members. A passion for building and participating in highly effective teams and development processes. Strong debugging, testing / validation, and analytics/SQL skills. Experience working with Agile methodologies (Scrum) and cross-functional teams. Desirable: Experience in CDN, datacenter, hyperscaler, media, news, and/or entertainment industry. Knowledge of PXE, UEFI, core OS fundamentals, hardware architectures (CPU, PCI Bus). Active participant in industry events (publish articles, present at conferences). Certifications in RHCA, AWS, Azure, VMware, Network Essentials, or other relevant certs. Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you. How We Get Things Done This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Apr 25, 2025
Full time
Welcome to Warner Bros. Discovery the stuff dreams are made of. Who We Are When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Warner Bros. has been entertaining audiences for more than 90 years through the world's most-loved characters and franchises. Warner Bros. employs people all over the world in a wide variety of disciplines. We're always on the lookout for energetic, creative people to join our team. Your New Role Site Reliability Engineering (SRE) team members work with our Global Content Delivery teams to deliver exabytes of content for our brands globally. The SRE has a highly skilled combination of engineering and operations skills and is focused on automating and improving operations. Their job is to guarantee system reliability, performance, and supportability with a strong engineering emphasis on building autonomous solutions that deliver value to end-users early, often, & fast. They are central to the reputation and trustworthiness of our services and act as an advocate for engineering best practices. WBD's Global Content Delivery team members are responsible for the management & governance all media delivery infrastructure for Max, D+, CNN, and other WBD brands globally. You will be involved from the initial design phase of figuring out the right network topology for our clients to the final stages of deploying and setting up hardware, networking, monitoring, alerting, and logging. The role requires good problem-solving skills and ability to work across several teams and partner groups. We're looking for candidates who love to learn and can adapt quickly. Your Role Accountabilities Build the orchestration build systems for managing fleets of remotely deployed servers. WBD's Global Content Delivery team manages servers globally which help deliver media to our customers globally for our largest brands. You will be a core contributor to managing the automation systems that power the control plane for these remote edge sites. Work in a full stack environment, from the control plane layer, down to physical hardware lifecycles. Be a key member of the team responsible for the entirety of our entire stack, contributing to the global control plane, to working on new revisions of hardware to deployed to the field. This team works the full stack from software, networking, operating system, to the hardware and network gear level. Design, write and deliver software and infrastructure to improve the reliability, scalability, latency, and efficiency of our services. Bring new technology thinking and lead developers to embrace new tools and innovative solutions to solve business needs. Guide Engineers to design, develop, and test for reliability, and to automate tasks for applications. Solve problems relating to mission-critical services and create solutions to prevent problem recurrence, with the goal of automating response to all non-exceptional service conditions. Influence and create new designs, architectures, standards, and methods for large-scale distributed systems. Engage in service capacity planning, service integration and geo-expansion, software performance analysis and system tuning. Candidate must be solutions-oriented using rigorous logic and methods to solve difficult problems with effective solutions, probing all sources for answers. Conduct on-call duties. Help troubleshoot incidents to address failure patterns, automate remediation through runbooks, and document application optimisation. Enable the Cloud, DevOps, Continuous Integration, and Test automation & Monitoring strategies. Coordinate with the Applications team to satisfy all non-functional project requirements (security, performance, scalability, and resiliency). Proven track record building/supporting/scaling a high transactional 24x7 environment. Collaborate with the Platform Engineering team to build tools to help automate deployments. Coordinate with relevant teams to build useful tools to support network operations (internal and external). Qualifications and Experience The Essentials: Passionate about SRE, DevOps, Automation, and infrastructure platforms. Understand the mechanical sympathy between software workloads and the demand it places on the underlying hardware. Working knowledge of non-virtualized server hardware, datacenter operations, and principles of networking. Experience with FreeBSD or other BSD based OS's. Must excel with agile and lean development practices and manage multiple priorities and multiple roles. BS Degree in Computer Science, Physics, Engineering or Mathematics or equivalent experience. Experience with build automation and CI/CD. Expertise with monitoring or log aggregation tools. Proficient in one of: Golang, Rust, C, C++, Python, Bash. Experience working AWS cloud services. Experience with containerization technologies such as Docker/Kubernetes. Expertise in problem solving and analyzing global scale systems and critical production service environments. Capable of technical deep dives into networking, service design, operating systems, and storage. Verbally and cognitively agile enough to engage in strategy discussions with leadership team members. A passion for building and participating in highly effective teams and development processes. Strong debugging, testing / validation, and analytics/SQL skills. Experience working with Agile methodologies (Scrum) and cross-functional teams. Desirable: Experience in CDN, datacenter, hyperscaler, media, news, and/or entertainment industry. Knowledge of PXE, UEFI, core OS fundamentals, hardware architectures (CPU, PCI Bus). Active participant in industry events (publish articles, present at conferences). Certifications in RHCA, AWS, Azure, VMware, Network Essentials, or other relevant certs. Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you. How We Get Things Done This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. Your Impact Contribute to AIoT Device-level Firmware Infrastructure as part of the Platform Firmware development team and advance Axon's mission to Protect Life. Platform Firmware supports all of Axon's Camera-based products, key ownership of the Cellular LTE Link, Automated Test Systems for organizational Engineering Excellence, and is always at the forefront of Innovation with Hardware Engineering for new programs. Firmware development environments primarily include Embedded Linux (C, C++, Golang, Yocto) and RTOS on Microcontrollers (C). Rust is being explored. Solve very challenging Firmware problems while applying Data Structure and Object Oriented thinking to build infrastructure APIs used by Axon's Embedded Product teams. The Platform Firmware team is hiring because there are career-defining, new innovative product-line programs being started in 2024 and 2025. These new programs synthesize all of Axon's technologies and core competencies into what will be revolutionary offerings for our Customers. New team(s) are being built-out with a bias towards Central-Eastern USA to overlap with our teams in Western Europe. In addition, there is always innovative new work to be done on everything the Platform Firmware team supports. Where You'll Work Location: London, England Travel: Firmware Engineering requires collaboration with Hardware Engineering and being hands-on. While the job is Remote near a Local Axon Hub, travel obligations to the office for Board Bring-up, Hardware and Manufacturing Support are required during critical build milestones of the Product Development Life-Cycle. We are forecasting 10% travel to Boston, Scottsdale, Brussels or Finland over a period of 18 months - remainder of time is discretionary to your choice of working from home or working from the office. What You'll Do Reports to: Level-dependent; Firmware Engineering Manager or Director of Engineering, Platform Firmware Direct Reports: None Firmware Design and Development of AIoT infrastructure for career-defining new programs that synthesize all Axon technologies in addition to current and next-gen Camera-related products and their accessories. Develop Firmware for eLinux-based System-on-Chips (SoC) and System-on-Modules (SoM). Develop Firmware for Microcontrollers. Develop Firmware for Wi-Fi, Bluetooth BLE, Sub-GHz, Cellular LTE & 5G, and related RF technologies. Develop Firmware for Battery and Power Management sub-systems with a critical eye towards Safety and Thermal Performance. Develop Manufacturing Software Provisioning and Calibration Tooling. Develop Unit, Integration and Automated Tests and Test Equipment as part of the development process. Support Electrical Engineering with Board Bring-up and Hardware Debugging Support. Write and review Design Docs, Pull Requests, and contribute to the Team's documentation bank. Collaborate with distributed teams such as other Firmware Teams, Embedded Product Teams (i.e., Business Logic), Electrical Engineering, Manufacturing and Compliance. Collaborate with System-on-Chip (SoC) and Cellular Modem vendors to optimize for AIoT use-cases and key performance parameters. Drive Engineering Excellence and adopt a test and metrics-first mindset. Be a Team Player, Mentor, Strong Communicator and be ready and willing to support the Team when needed. What You Bring B.S. in Computer Engineering, Computer Science, Electrical Engineering or equivalent. Experience in programming with C, C++, Rust, Golang and/or Python. Real-world Industry Firmware or Embedded experience of 8-12 years developing on IoT products. Experience with both Kernel and User-space Embedded Linux with exposure to Yocto, OpenWRT or other Embedded Distros for Board Support Packaging (BSP). Experience with RTOS on Microcontrollers. Basic ability to read Datasheets and Schematics. Experience with concise Technical Writing and Architecture Diagramming. Strong understanding of Computer Architecture and Peripherals. Strong understanding of Operating Systems, Concurrency and Networking concepts. Strong understanding of Data Structures, Algorithms and Object Oriented Design Patterns. Experience with Cellular LTE, 5G Modems is a plus. Experience with Battery and Power Management sub-systems, Safety and Thermal, is a plus. Experience with Robotics and/or Flight Controls is a plus. Benefits that Benefit You Competitive salary and 401k with employer match. Discretionary paid time off. Paid parental leave for all. Medical, Dental, Vision plans. Fitness Programs. Emotional & Mental Wellness support. Learning & Development programs. And yes, we have snacks in our offices. The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 122,000 in the lowest geographic market and USD 266,000 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit . Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Apr 25, 2025
Full time
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. Your Impact Contribute to AIoT Device-level Firmware Infrastructure as part of the Platform Firmware development team and advance Axon's mission to Protect Life. Platform Firmware supports all of Axon's Camera-based products, key ownership of the Cellular LTE Link, Automated Test Systems for organizational Engineering Excellence, and is always at the forefront of Innovation with Hardware Engineering for new programs. Firmware development environments primarily include Embedded Linux (C, C++, Golang, Yocto) and RTOS on Microcontrollers (C). Rust is being explored. Solve very challenging Firmware problems while applying Data Structure and Object Oriented thinking to build infrastructure APIs used by Axon's Embedded Product teams. The Platform Firmware team is hiring because there are career-defining, new innovative product-line programs being started in 2024 and 2025. These new programs synthesize all of Axon's technologies and core competencies into what will be revolutionary offerings for our Customers. New team(s) are being built-out with a bias towards Central-Eastern USA to overlap with our teams in Western Europe. In addition, there is always innovative new work to be done on everything the Platform Firmware team supports. Where You'll Work Location: London, England Travel: Firmware Engineering requires collaboration with Hardware Engineering and being hands-on. While the job is Remote near a Local Axon Hub, travel obligations to the office for Board Bring-up, Hardware and Manufacturing Support are required during critical build milestones of the Product Development Life-Cycle. We are forecasting 10% travel to Boston, Scottsdale, Brussels or Finland over a period of 18 months - remainder of time is discretionary to your choice of working from home or working from the office. What You'll Do Reports to: Level-dependent; Firmware Engineering Manager or Director of Engineering, Platform Firmware Direct Reports: None Firmware Design and Development of AIoT infrastructure for career-defining new programs that synthesize all Axon technologies in addition to current and next-gen Camera-related products and their accessories. Develop Firmware for eLinux-based System-on-Chips (SoC) and System-on-Modules (SoM). Develop Firmware for Microcontrollers. Develop Firmware for Wi-Fi, Bluetooth BLE, Sub-GHz, Cellular LTE & 5G, and related RF technologies. Develop Firmware for Battery and Power Management sub-systems with a critical eye towards Safety and Thermal Performance. Develop Manufacturing Software Provisioning and Calibration Tooling. Develop Unit, Integration and Automated Tests and Test Equipment as part of the development process. Support Electrical Engineering with Board Bring-up and Hardware Debugging Support. Write and review Design Docs, Pull Requests, and contribute to the Team's documentation bank. Collaborate with distributed teams such as other Firmware Teams, Embedded Product Teams (i.e., Business Logic), Electrical Engineering, Manufacturing and Compliance. Collaborate with System-on-Chip (SoC) and Cellular Modem vendors to optimize for AIoT use-cases and key performance parameters. Drive Engineering Excellence and adopt a test and metrics-first mindset. Be a Team Player, Mentor, Strong Communicator and be ready and willing to support the Team when needed. What You Bring B.S. in Computer Engineering, Computer Science, Electrical Engineering or equivalent. Experience in programming with C, C++, Rust, Golang and/or Python. Real-world Industry Firmware or Embedded experience of 8-12 years developing on IoT products. Experience with both Kernel and User-space Embedded Linux with exposure to Yocto, OpenWRT or other Embedded Distros for Board Support Packaging (BSP). Experience with RTOS on Microcontrollers. Basic ability to read Datasheets and Schematics. Experience with concise Technical Writing and Architecture Diagramming. Strong understanding of Computer Architecture and Peripherals. Strong understanding of Operating Systems, Concurrency and Networking concepts. Strong understanding of Data Structures, Algorithms and Object Oriented Design Patterns. Experience with Cellular LTE, 5G Modems is a plus. Experience with Battery and Power Management sub-systems, Safety and Thermal, is a plus. Experience with Robotics and/or Flight Controls is a plus. Benefits that Benefit You Competitive salary and 401k with employer match. Discretionary paid time off. Paid parental leave for all. Medical, Dental, Vision plans. Fitness Programs. Emotional & Mental Wellness support. Learning & Development programs. And yes, we have snacks in our offices. The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 122,000 in the lowest geographic market and USD 266,000 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit . Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Technical Account Manager, Enterprise Support - ASEAN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. As a Technical Account Manager you will provide consultative architectural and operational guidance delivered to help customers achieve the greatest value from AWS. As we continue to rapidly expand in Singapore, you'll have plenty of opportunities to develop your technical, consulting and leadership skills. You'll work with talented cloud technologists whilst expanding your knowledge of AWS products. You'll also have the chance to receive mentorship and gain AWS certifications. Key job responsibilities You'll build solutions, provide technical guidance and advocate for the customer Ensure AWS environments remain operationally healthy whilst reducing cost and complexity Develop trusting relationships with customers, understanding their business needs and technical challenges Using your technical acumen and customer obsession, you'll drive technical discussions regarding incidents, trade-offs, and risk management Consult with a range of partners from developers through to C-suite executives Collaborate with AWS Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers With a bias for action, you'll proactively find opportunities for customers to gain additional value from AWS Provide detailed reviews of service disruptions, metrics, detailed prelaunch planning Being part of a wider Enterprise Support team you'll provide post-sales, consultative expertise Solve a variety of problems across different customers as they migrate their workloads to the cloud Uplift customer capabilities by running workshops, brown bag sessions, etc. A day in the life As a trusted advisor you'll have a direct impact in helping our customers gain the most value from cloud technology. You'll craft and execute strategies to drive our customers' adoption and use of AWS services. Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. You'll provide advice on architecture, support strategy, project, and launch planning as well as ongoing operational issues. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Minimum Qualifications 5+ years of technical engineering experience Experience with operational parameters and troubleshooting for two (2) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment Bachelor's degree Experience with AWS services or other cloud offerings Experience in internal enterprise or external customer-facing environment as a technical lead Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Apr 25, 2025
Full time
Technical Account Manager, Enterprise Support - ASEAN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. As a Technical Account Manager you will provide consultative architectural and operational guidance delivered to help customers achieve the greatest value from AWS. As we continue to rapidly expand in Singapore, you'll have plenty of opportunities to develop your technical, consulting and leadership skills. You'll work with talented cloud technologists whilst expanding your knowledge of AWS products. You'll also have the chance to receive mentorship and gain AWS certifications. Key job responsibilities You'll build solutions, provide technical guidance and advocate for the customer Ensure AWS environments remain operationally healthy whilst reducing cost and complexity Develop trusting relationships with customers, understanding their business needs and technical challenges Using your technical acumen and customer obsession, you'll drive technical discussions regarding incidents, trade-offs, and risk management Consult with a range of partners from developers through to C-suite executives Collaborate with AWS Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers With a bias for action, you'll proactively find opportunities for customers to gain additional value from AWS Provide detailed reviews of service disruptions, metrics, detailed prelaunch planning Being part of a wider Enterprise Support team you'll provide post-sales, consultative expertise Solve a variety of problems across different customers as they migrate their workloads to the cloud Uplift customer capabilities by running workshops, brown bag sessions, etc. A day in the life As a trusted advisor you'll have a direct impact in helping our customers gain the most value from cloud technology. You'll craft and execute strategies to drive our customers' adoption and use of AWS services. Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. You'll provide advice on architecture, support strategy, project, and launch planning as well as ongoing operational issues. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Minimum Qualifications 5+ years of technical engineering experience Experience with operational parameters and troubleshooting for two (2) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment Bachelor's degree Experience with AWS services or other cloud offerings Experience in internal enterprise or external customer-facing environment as a technical lead Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Sr. Applied Scientist, Trustworthy Shopping Experience (TSE) Ops Product team Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. You set standards and proactively drive components to use and improve on state-of-the-art techniques. You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting research in a corporate setting - Experience in patents or publications at top-tier peer-reviewed conferences or journals. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Apr 25, 2025
Full time
Sr. Applied Scientist, Trustworthy Shopping Experience (TSE) Ops Product team Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. You set standards and proactively drive components to use and improve on state-of-the-art techniques. You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting research in a corporate setting - Experience in patents or publications at top-tier peer-reviewed conferences or journals. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Company: Qualcomm India Private Limited Job Area: Information Technology Group, Information Technology Group > IT Management General Summary: Qualcomm is enabling a world where everyone and everything can be intelligently connected. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You'll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day. Qualcomm engineering teams rely heavily on the latest High Performance Computing (HPC) technologies to design and develop new products using electronic design automation (EDA) tools. This role provides an opportunity to manage and deliver a portfolio of software solutions and services for core engineering teams. You will gain experience leading a portfolio of critical projects while building scalable and fault-tolerant software solutions that are deployed on some of the largest supercomputing infrastructures across the globe. What are we looking for? The Engineering Software Solutions and Data Services team (ESSDS) is looking for an experienced software development manager preferably with exposure to HPC technologies. The ESSDS team (aligned with Engineering IT) is responsible for development of software solutions enabling High Performance Compute grid and large-scale, distributed, analytical applications. They work on components and services for HPC infrastructure optimization, hardware IP management systems, petabyte-scale cloud data platforms and development of machine learning solutions and pipelines. This role will lead a team of about 20 software developers working on a portfolio of software products and services being developed by the team. The ideal candidate would be a seasoned Software Developer Manager experienced in engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven software solutions. What will you do? This role's responsibilities include: Lead and manage a team of software developers and project manager, providing mentorship and guidance to foster professional growth. Provide technical expertise across a portfolio of software development projects. Identify opportunities and deliver solutions for EDA workflow optimizations. Set and manage team priorities in line with organizational goals and objectives, working closely with diverse set of stakeholders in Engineering IT. Oversee the entire software development lifecycle, from planning and design to implementation, testing, and deployment for a portfolio of products and services developed by the team. Collaborate with global teams to define project requirements, scope, and deliverables. Ensure the delivery of high-quality software solutions that meet business objectives and customer needs. Implement best practices for software development, including coding standards, code reviews, and automated testing. Manage project timelines and resources to ensure successful project completion. Stay updated with the latest industry trends and technologies to drive continuous improvement and innovation. Build a culture of collaboration, accountability, and continuous learning within the team. What do we want to see? The ideal candidate will be able to demonstrate some of the following skills: 14+ years of hand-on experience in software engineering, with at least 6 years in a leadership role. Strong proficiency in programming languages such as Java, C++, Python, Rust or similar. Expertise in software lifecycle management, version control, and CI/CD best practices for quality, agility and security. Proven ability to manage multiple projects and conflicting priorities. Experience with public cloud environments such as AWS, Azure or Google Cloud. Experience with microservices architecture and containerization. Familiarity with EDA and semiconductor design process. Ability to explain technical concepts and analysis implications in a clear manner to a wide audience. Exposure to HPC technologies is a plus. Bachelor's or Master's in Computer Science or related field. Minimum Qualifications: • 7+ years of IT-related work experience with a Bachelor's degree. OR • 9+ years of IT-related work experience without a Bachelor's degree. • 4+ years in a leadership role in projects/programs. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers .
Apr 25, 2025
Full time
Company: Qualcomm India Private Limited Job Area: Information Technology Group, Information Technology Group > IT Management General Summary: Qualcomm is enabling a world where everyone and everything can be intelligently connected. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You'll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day. Qualcomm engineering teams rely heavily on the latest High Performance Computing (HPC) technologies to design and develop new products using electronic design automation (EDA) tools. This role provides an opportunity to manage and deliver a portfolio of software solutions and services for core engineering teams. You will gain experience leading a portfolio of critical projects while building scalable and fault-tolerant software solutions that are deployed on some of the largest supercomputing infrastructures across the globe. What are we looking for? The Engineering Software Solutions and Data Services team (ESSDS) is looking for an experienced software development manager preferably with exposure to HPC technologies. The ESSDS team (aligned with Engineering IT) is responsible for development of software solutions enabling High Performance Compute grid and large-scale, distributed, analytical applications. They work on components and services for HPC infrastructure optimization, hardware IP management systems, petabyte-scale cloud data platforms and development of machine learning solutions and pipelines. This role will lead a team of about 20 software developers working on a portfolio of software products and services being developed by the team. The ideal candidate would be a seasoned Software Developer Manager experienced in engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven software solutions. What will you do? This role's responsibilities include: Lead and manage a team of software developers and project manager, providing mentorship and guidance to foster professional growth. Provide technical expertise across a portfolio of software development projects. Identify opportunities and deliver solutions for EDA workflow optimizations. Set and manage team priorities in line with organizational goals and objectives, working closely with diverse set of stakeholders in Engineering IT. Oversee the entire software development lifecycle, from planning and design to implementation, testing, and deployment for a portfolio of products and services developed by the team. Collaborate with global teams to define project requirements, scope, and deliverables. Ensure the delivery of high-quality software solutions that meet business objectives and customer needs. Implement best practices for software development, including coding standards, code reviews, and automated testing. Manage project timelines and resources to ensure successful project completion. Stay updated with the latest industry trends and technologies to drive continuous improvement and innovation. Build a culture of collaboration, accountability, and continuous learning within the team. What do we want to see? The ideal candidate will be able to demonstrate some of the following skills: 14+ years of hand-on experience in software engineering, with at least 6 years in a leadership role. Strong proficiency in programming languages such as Java, C++, Python, Rust or similar. Expertise in software lifecycle management, version control, and CI/CD best practices for quality, agility and security. Proven ability to manage multiple projects and conflicting priorities. Experience with public cloud environments such as AWS, Azure or Google Cloud. Experience with microservices architecture and containerization. Familiarity with EDA and semiconductor design process. Ability to explain technical concepts and analysis implications in a clear manner to a wide audience. Exposure to HPC technologies is a plus. Bachelor's or Master's in Computer Science or related field. Minimum Qualifications: • 7+ years of IT-related work experience with a Bachelor's degree. OR • 9+ years of IT-related work experience without a Bachelor's degree. • 4+ years in a leadership role in projects/programs. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers .
Are you a curious and open-minded individual with an interest in leading teams conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientist Managers with a passion for leading teams and solving challenging machine learning problems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for managers who can inspire and guide their teams, are willing to roll up their sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool use, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, learned data-mixtures) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the Role In this opportunity, as Research Scientist Manager you will: Lead: You will be involved in strategic planning, hiring and the management in foundational research. This gives you the opportunity to master your management skills, mentor, lead and help direct reports grow and contribute to the wider group. Innovate: You will innovate and create new state-of-the-art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: Required Qualifications: PhD in a relevant discipline. Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Good social skills and ability to motivate, inspire and mentor team members. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred Qualifications: High-impact publications in top-tier conferences or other influence in the research community. 5+ years of hands-on experience leading teams building advanced ML / NLP / IR systems in academia (e.g. through student supervision) or for commercial applications. Extensive experience with deep learning and large-scale model training. Experience working on at least one relevant state-of-the-art research topic (see our focus areas) in large language models (LLMs). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Other key points: Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. DISCLAIMER The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack . click apply for full job details
Apr 25, 2025
Full time
Are you a curious and open-minded individual with an interest in leading teams conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientist Managers with a passion for leading teams and solving challenging machine learning problems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for managers who can inspire and guide their teams, are willing to roll up their sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool use, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, learned data-mixtures) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the Role In this opportunity, as Research Scientist Manager you will: Lead: You will be involved in strategic planning, hiring and the management in foundational research. This gives you the opportunity to master your management skills, mentor, lead and help direct reports grow and contribute to the wider group. Innovate: You will innovate and create new state-of-the-art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: Required Qualifications: PhD in a relevant discipline. Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Good social skills and ability to motivate, inspire and mentor team members. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred Qualifications: High-impact publications in top-tier conferences or other influence in the research community. 5+ years of hands-on experience leading teams building advanced ML / NLP / IR systems in academia (e.g. through student supervision) or for commercial applications. Extensive experience with deep learning and large-scale model training. Experience working on at least one relevant state-of-the-art research topic (see our focus areas) in large language models (LLMs). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Other key points: Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. DISCLAIMER The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack . click apply for full job details
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for a leader with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities You'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the hiring group About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 4+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - PhD Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Apr 25, 2025
Full time
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for a leader with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities You'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the hiring group About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 4+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - PhD Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: Build a team of direct Sales Executives to drive rapid new business sales growth in the region Build and drive sales strategy for the region in conjunction with Sales Operations to effectively Go-To-Market including understanding the competitive landscape, presence and strength within the region Actively engage in territory planning, relationship development and opportunity development and driving revenue by supporting and assisting Field Sales Teams in closing opportunities Recruit, coach and mentor team members to drive excellence Development of territories and quota for the sales team and effectively communicate to set performance expectations within the team Manage and report accurate forecast and pipeline to the business Achievement of annual sales goals on a quarterly and annual basis is required Engage and align effectively in C-level meetings in order to properly understand customer business requirements Build effective working relationships with Solution Consulting, Business Units, Professional Services, Marketing, our Partner community and the ServiceNow executive team Retain and grow existing customer base with regular non-sales customer engagement activities to deliver an excellent customer experience Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Extensive track record of new business sales success including presentation and negotiation skills within industry and at C Level Strong success in recruiting, coaching and managing an exceptional sales team Strong strategic thinking including analytical and financial planning skills to meet and exceed quotas and goals. Ownership of accurate CRM reports including current and future quarterly forecasts and opportunity inspection Experienced in driving sales process and drive effective working relationships with Sales Operations Ability to understand the 'bigger picture' and business drivers around IT Ability to build long term strategic and senior level relationships Ability to adapt and work effectively within a rapidly changing and growing environment Demonstrates strong business and financial acumen Built self-motivated sales teams that embrace a culture of collaboration, enthusiasm, and overachievement Champions and promotes top performers, constantly develops and coaches the team and themselves, and topgrades appropriately Proven partner relationships and networks, and ability to grow the impact of revenue streams and territory development through the partner ecosystem Ownership of driving successful pipeline generation activities developed by marketing or the partner community Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here . Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
Apr 24, 2025
Full time
Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: Build a team of direct Sales Executives to drive rapid new business sales growth in the region Build and drive sales strategy for the region in conjunction with Sales Operations to effectively Go-To-Market including understanding the competitive landscape, presence and strength within the region Actively engage in territory planning, relationship development and opportunity development and driving revenue by supporting and assisting Field Sales Teams in closing opportunities Recruit, coach and mentor team members to drive excellence Development of territories and quota for the sales team and effectively communicate to set performance expectations within the team Manage and report accurate forecast and pipeline to the business Achievement of annual sales goals on a quarterly and annual basis is required Engage and align effectively in C-level meetings in order to properly understand customer business requirements Build effective working relationships with Solution Consulting, Business Units, Professional Services, Marketing, our Partner community and the ServiceNow executive team Retain and grow existing customer base with regular non-sales customer engagement activities to deliver an excellent customer experience Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Extensive track record of new business sales success including presentation and negotiation skills within industry and at C Level Strong success in recruiting, coaching and managing an exceptional sales team Strong strategic thinking including analytical and financial planning skills to meet and exceed quotas and goals. Ownership of accurate CRM reports including current and future quarterly forecasts and opportunity inspection Experienced in driving sales process and drive effective working relationships with Sales Operations Ability to understand the 'bigger picture' and business drivers around IT Ability to build long term strategic and senior level relationships Ability to adapt and work effectively within a rapidly changing and growing environment Demonstrates strong business and financial acumen Built self-motivated sales teams that embrace a culture of collaboration, enthusiasm, and overachievement Champions and promotes top performers, constantly develops and coaches the team and themselves, and topgrades appropriately Proven partner relationships and networks, and ability to grow the impact of revenue streams and territory development through the partner ecosystem Ownership of driving successful pipeline generation activities developed by marketing or the partner community Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here . Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
