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Senior Security Engineer, AI Security at Amazon At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. We are seeking a Senior Security Engineer to join our AI Security organization that builds AI-powered security solutions to re-imagine how Amazon discovers and protects customer data and applications. As a Senior Security Engineer, you will conduct security research and collaborate with applied scientists, software engineers, as well as partner teams to develop innovative AI agent technologies that solve some of our hardest security problems, and build intelligent foundational services that support builder teams across Amazon throughout their software development journey, enabling Amazon businesses to accelerate the pace of innovation to delight our customers. Key job responsibilities Conduct security research on AI-powered mechanisms for discovering and protecting customer data and applications at scale effectively and efficiently. Ensure our agentic workflows deliver high impact security value. A day in the life Our days are varied, and our remit is broad. You will scale security agents across Amazon, and you will ensure those agents apply up-to-date security expertise to their problems. About The Team Amazon Security: Diverse Experiences Amazon Security 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 Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. 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. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training and 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, training, and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications Bachelor's degree in computer science or equivalent. Extensive experience and expertise in programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience. Extensive experience and expertise in any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience. Experience using Large Language Models (LLM) in security engineering. Preferred Qualifications Master's or PhD in cyber security or artificial intelligence. Strong interest in researching and developing new technologies with high customer impact. Strong problem-solving ability and the ability to work in ambiguous and constantly evolving environment. Excellent communication skills with both technical and non-technical audiences. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team Private Label Solutions (PLS) is the B2B powerhouse within Expedia Group, delivering cutting-edge travel technology and distribution solutions to a diverse global partner network. Our partners span financial institutions, corporate travel managers, offline travel agencies, and global travel suppliers-including major airlines. We are seeking a visionary Director of Machine Learning Science to lead our Recommendations and Relevance team within Private Label Solutions (PLS), Expedia Group's Business-to-business (B2B) division. As a global leader in B2B travel technology, PLS serves thousands of partners across diverse markets and travel segments. This role will tackle the unique challenge of recommending optimal travel products for our partners' diverse traveler base. In this pivotal role, you'll spearhead the creation and evolution of cutting-edge Machine Learning and AI solutions, enhancing our partners' user experiences and optimising their product offerings. As we refine our existing capabilities and ambitiously expand into new business areas, you'll have a unique opportunity to define the future of ML at PLS. We're looking for a leader who thrives on large-scale challenges, can guide a talented full-stack ML team, coach people managers within their organisation, and is committed to delivering exceptional products. Your work will be instrumental in driving growth for our partners, PLS, and Expedia Group as a whole. In this role you will: Lead and inspire a cross functional, full stack team of Machine Learning Scientists and Machine Learning Engineers fostering personal growth and creating accountability. Develop and execute a comprehensive strategy for applying advanced ML techniques to the recommendations and relevance space that is aligned with business strategy. Collaborate with cross-functional teams to identify high-impact opportunities for enhancing partner recommendations and relevance using AI & ML technologies. Work with your peers to identify and develop common capabilities that can improve efficiency across domains. Oversee the development, maintenance and operation of scalable ML infrastructure and pipelines. Stay at the forefront of relevant advancements in machine learning and drive innovation by encouraging your team to explore and implementing novel approaches. Effectively communicate complex technical concepts and project outcomes to both technical and non-technical stakeholders. Establish best-in-class development practices, guidelines, and processes within your team. Experience and Qualifications: 10+ years for Master's (7+ years for PhD) experience in applied machine learning with at least 4 years in a leadership/management role Ph.D. or master's degree in computer science, Machine Learning, Information Retrieval, Mathematics/Statistics or another related field of science. Depth of expertise and experience in developing and deploying to production machine learning models for recommendations, personalisation, or search relevance. Comprehensive knowledge of machine learning algorithms, particularly in ranking and recommendation systems, coupled with the agility to rapidly grasp and apply emerging techniques. Proven track record of leading and mentoring high-performing technical teams Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments Strong project management and organisational skills Proficiency in programming languages such as Python, Java, or Scala, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn Experience with large-scale distributed systems and big data technologies (e.g., Spark, Hadoop, Kafka) Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. What You will do: Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience. Use your knowledge and experience to help scale the impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency. Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations. Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify opportunity areas, explore through POC to then drive to adoption. Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where data science can solve customer problems and improve the product. Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions. Guide and mentor other product analysts in best practices for experimentation, modeling, and data-driven product development upskilling the team and defining the roadmap for Product Data Science. Communicate complex data insights to both technical and non-technical stakeholders with clarity and influence. What You'll bring to the team: Core Qualifications: Experience: Significant experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Advanced proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., regression, classification, clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. Strategic Influence: A proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design teams). Scaling Impact: Experience scaling your impact through the creation of automated processes, self-service tools, or data products. Critical Thinking: Your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Deep experience in developing sophisticated customer segmentation models including predictive LTV modeling. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Current Company Current Title Application Consent Select Tripadvisor collects your personal data for the purposes of managing Tripadvisor's recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes. Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor's behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect, prevent or otherwise address fraud, security or technical issues, or to protect against harm to the rights, property or safety of Tripadvisor, our users, applicants, candidates, employees or the public or as otherwise required by law. We have put in place adequate safeguards with respect to the protection of your privacy, rights and freedoms, and the exercise of your rights. Massachusetts Notification Select It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Principal Product Data Scientist I Viator About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. What you will do: As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. What You'll bring to the team: Core Qualifications: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design). Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Current Company Current Title Application Consent Select Tripadvisor collects your personal data for the purposes of managing Tripadvisor's recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes. Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor's behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect . click apply for full job details

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more We are seeking an exceptional Sr. Machine Learning Scientist to join Private Label Solutions (PLS ) applied machine learning team . As a global leader in B2B travel technology, PLS serves thousands of partners across diverse markets and travel segments. Recommender systems and relevance algorithms are foundational capabilities that have a significant impact on the business and are critical to the success of our partners, suppliers and Expedia Group. This role will be pivotal in developing and implementing cutting-edge ML solutions for personalized recommendations, learning to rank, and relevance optimization. The ideal candidate will combine strong technical skills with deep commercial acumen to drive substantial value for PLS and our partners. In this role, you will: Lead development of advanced ML-powered recommender systems and relevance algorithms at scale. Architect end-to-end ML solutions for high-throughput, low-latency personalized recommendations across partner segments. Provide technical leadership and mentorship, fostering innovation and continuous learning. Collaborate cross-functionally to align ML solutions with business strategy and partner needs. Guide a full-stack ML team, supporting technical growth and implementation. Conduct and present advanced analyses, ensuring models deliver business value and comply with legal and commercial standards. Experience and qualifications: You hold a Ph.D. (preferred) or Master's in Computer Science , ML, Mathematics/Statistics, or a related field. You have 5+ years of experience deploying large-scale recommender systems in high-volume, low-latency environments. You translate business needs into technical solutions with strong commercial acumen. You possess deep knowledge of ML algorithms, especially in recommendation and learning-to-rank, and stay current with emerging techniques. You are experienced in multivariate testing, mentoring junior scientists, and leading technical decisions. You are proficient in Python, Java, Scala, and ML frameworks (e.g., TensorFlow, PyTorch ), with experience in cloud platforms (AWS), big data (Spark), and deployment tools (Kubernetes, Airflow, Docker). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos As a Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology. We are looking for a hands-on, senior level creative and collaborative person to join our multidisciplinary team of scientists and engineers focused on transforming how we treat aging and disease. The successful candidate will thrive in a fast-paced environment that emphasises teamwork, transparency, scientific excellence, originality, rigor, and integrity. Responsibilities - Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large-scale machine learning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machine learning models at scale; Communicate effectively with internal and external collaborators to meet ambitious research and development goals. Who You Are - Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential; Growth mindset - the desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine; Excitement about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities. Minimum Qualifications - Masters or Ph.D. degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX; Experience in large-scale distributed optimization of machine learning models across multiple GPUs and nodes. Preferred Qualifications - Familiarity with biological data formats, concepts, and computational models; Experience in cell health and rejuvenation-related research area; Experience with identification and assessment of drug targets and/or therapeutic compounds; Experience in the application of machine learning methods to biological data, including genomics, transcriptomics, epigenetics, proteomics, and imaging; Track record in open-source software development, e.g., demonstrated by high-impact GitHub repository; Track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals or major ML conferences; Experience with one lower level language (not limited to, but such as C++, Rust); Experience with large scale data processing and database tools such as MapReduce, Dask, SQL, Hugging Face Datasets, TileDB, Ray. The salary range for Cambridge, UK: - Senior Machine Learning Engineer: £90,950 - £123,050 Staff Machine Learning Engineer: £113,900 - £154,100 Exact compensation may vary based on skills, experience, and location. Before submitting your application: - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. The Data & Artificial Intelligence organization is the fuel for EG transformation, traveler experience innovation, analytics and actionable insights, machine learning, competitive intelligence, partner, and supplier success. The Data & Artificial Intelligence organization is looking for a Distinguished Machine Learning Scientist who enjoys doing hands-on exploratory ML/AI projects. This Distinguished Scientist will help define large $1B problems or futuristic opportunities where ML/AI could transform travel industry. In addition, you will help shape the long-term vision, strategy and capabilities across the organization and will be a recognized expert in ML/AI technology capabilities along with being a strong mentor. What you'll do: Lead AI strategy throughout Expedia Group that will focus on complex, cross organizational companywide impact. Perform applied research to consistently achieve desired solution performance and improve organizational capabilities. Be hands-on and builds end-to-end design of models based on detailed understanding of business requirements, including general approach, choice of algorithm and data sources. Demonstrates an authoritative understanding of the business successes challenges and strategic objectives; draws from experience to evaluate solutions from the business' perspective and provide advice regarding opportunities and risks. Regularly participates in and may help to organize external events and creates and presents functional and technical information in captivating fashion. Ensure that functional technical communications are crafted with non-technical audience's mind, ensuring processes, practices are in place to support or coach others on the best ways to use visual aids to describe concepts. Who you are: Bachelor's, Master's, PhD degree in a technical field; or Equivalent related professional experience, with 16 years' experience with a bachelor; 14 years' experience with masters; 12 years' experience for PhD candidates. Is a recognized leader in problem solving the most complex questions and challenges (patents and external blogging are preferred) Experience delivering large and complex ML/AI project from concept to feasibility to production phase. Is willing to prep data, code up models, deploy models by himself/herself. You will demonstrate your expertise in more than one major ML programming language (Python, SparkR, Scala ) and familiarity with data pipelines and model deployment. Experience defining ML best practices at a department / organizational level. Experience demonstrating a critical understanding of business processes by making recommendations for improvement, sponsoring and staging workshops/knowledge sessions to improve organization functional knowledge and acuity, and leveraging insights and subject matter experts to overcome challenges. The total cash range for this position in the Bay Area is $323,500.00 to $452,500.00. Employees in this role have the potential to increase their pay up to $517,000,000.00 which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $296,000.00 to $414,500.00. Employees in this role have the potential to increase their pay up to $473,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Chicago is $278,500.00 to $390,000.00. Employees in this role have the potential to increase their pay up to $445,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits The total cash range for this position in Seattle is $296,000.00 to $414,500.00. Employees in this role have the potential to increase their pay up to $473,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.The total cash range for this position in Austin is $296,000.00 to $414,500.00. Employees in this role have the potential to increase their pay up to $473,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.The total cash range for this position in San Francisco is to . Employees in this role have the potential to increase their pay up to , which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent ( IATAN ) membership. View our full list of benefits . Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more We are seeking a commercially minded and technically exceptional Director of Machine Learning Science to lead the Revenue Optimization ML team within Private Label Solutions (PLS), Expedia Group's Business-to-business (B2B) division. As a global leader in B2B travel technology, PLS serves thousands of partners across diverse markets and travel segments. Revenue optimization is a foundational capability that has a significant impact on the business and is critical to the success of our partners, suppliers and Expedia Group. This role will be responsible for defining, developing, implementing and maintaining scalable machine learning solutions to drive revenue growth and optimize business outcomes across all PLS product lines. In this role, you will: Lead and inspire a cross functional, full stack team of Machine Learning Scientists and Machine Learning Engineers fostering personal growth and creating accountability. Develop and execute a comprehensive strategy for enhancing and expanding ML-powered revenue optimization levers across all products and lines of business that aligns with long-term business objectives. Frequently engage with senior leadership to facilitate tactical and strategic changes to the optimization program. Partner with operations, analytics and internal product & technology teams to ensure models in production are driving expected business value, are fully compliant with legal and commercial guardrails and operate efficiently. Collaborate with cross-functional teams to identify high-impact opportunities for revenue optimization using AI and ML technologies. Takes end-to-end ownership by generating innovative ideas, building strong business cases, securing stakeholder alignment, and executing through to successful delivery. Effectively communicate complex technical concepts and project outcomes to both technical and non-technical stakeholders. Establish best-in-class development practices, guidelines, and processes within your team. Stay at the forefront of relevant advancements in machine learning and drive innovation by encouraging your team to explore and implement novel approaches. Oversee the development, maintenance and optimization of scalable ML infrastructure and pipelines for all capabilities within role scope. Maintain a strong scientific culture within the team Experience and qualifications: Ph.D. (preferred) or master's degree in computer science, Machine Learning, Mathematics/Statistics or another related field of science. 10+ years of experience in applied machine learning (7+ years if Ph.D.), with at least 4 years in a leadership role. Depth of expertise in developing and deploying to production machine learning models for revenue optimization or related fields in high volume, low latency environments. Comprehensive knowledge of machine learning algorithms, particularly those used in revenue optimization, coupled with the agility to rapidly grasp and apply emerging techniques. Deep statistical knowledge and experience with multivariate testing at scale. Proven track record of leading and mentoring high-performing technical teams. Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments and navigate large organisations. Strong project management and organizational skills. Proficiency in programming languages such as Python, Java and Scala, and experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with cloud platforms (e.g., AWS), big data technologies (e.g., Spark) as well as other technologies used to deploy models to production (e.g., Kubernetes, GHA, Airflow, Docker etc.). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

About EIT: The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. Led by a faculty of world experts, EIT seeks to solve the world's most challenging problems across four high-risk, high-reward, high-impact humane endeavours: health and medical science; food security and sustainable agriculture; climate change and clean energy; and artificial intelligence & robotics. EIT is investing significant resources in a new world-class research and development facility in the Oxford Science Park. Set for completion in 2027, the state-of-the-art campus includes 300,000 sq ft of research laboratories, an oncology and preventative care clinic, and educational and meeting spaces. Together, they create the perfect environment for EIT experts to take ground-breaking ideas from research to broad implementation. The new facility will further EIT's current partnership with the University of Oxford and become the new home for Ellison Scholars. EIT is committed to cultivating a community where excellence is achieved through collaboration, trust, innovation and tenacity. We foster an environment where everyone's experience and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. EIT is seeking a Product Manager to join the Applied ML team at Ellison Institute of Technology, as we set up our Data Science and Engineering organization and begin the journey of enabling various programmes and opportunities within EIT through the use of artificial intelligence. The ideal candidate would: Be excited about building AI products to accelerate the discovery of new scientific breakthroughs and/ or to accelerate the translation of existing science to real world impact. Want to work in a dynamic, growing, mission-driven environment where there is ambiguity and a bias to action Enjoy leading, interfacing with and working in an engaged and excited cross functional team bringing together disparate technical and domain expertise to a single purpose/ vision This person would interface directly with our Product Leadership, as well as number of technical (e.g., Data Science, ML Ops), business and operational leads (within the programmes) and own the product strategy, feature definition, and development timelines for products that support programme or Applied ML objectives. Key Responsibilities: Define and shepherd holistic Applied AI/ML product strategy and delivery in alignment with broader programme, business or research priorities including: Working with programme business leads to identify opportunities for applied AI/ML product and set the product vision and strategy in alignment with the programme mission Act as a link between technical team (e.g., data scientists, data engineers) and the business and programme leads to support the translation of scientific/ business needs into technical product requirements Manage the development and launch of new products and updates to existing products to ensure alignment with customer, business and program needs Act as the 'voice of the consumer' in day-to-day working interactions within the Tech team, to ensure technical outputs are relevant and tailored to the specific problem Synthesise information and present strategy, progress, issues and solutions to Applied ML leads, programme CEO, executive team and other stakeholders as needed Essential Skills, Qualifications & Experience: Experience and familiarity with scientific exploration/ concepts (particularly in areas of interest: Healthcare, Chemicals/ Materials, AgTech, ClimateTech, Energy, GeoTech, FinTech) and the ability to get technically deep in new scientific areas Experience delivering software/ AI solutions (particularly in areas of interest: Healthcare, Chemicals/ Materials, Energy, AgTech, ClimateTech, GeoTech, FinTech) Strong interpersonal skills, including handling technical and academic stakeholders alongside business and corporate stakeholders Ability to collaborate across a team with diverse skill sets and prior experience, including clear communication of your priorities and insights Confidence defining next steps and owning actions in a dynamic, growing start-up environment, where there will be ambiguity alongside a bias to action Strong analytical and problem-solving skills, and excellent attention to detail High standard of written and verbal communication We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.

NOTICE : We do not advertise our positions on the following social media platforms: Facebook, WhatsApp, Instagram, TikTok or X. If you have any questions, please contact our office directly via phone or email. Grow with us Senior Applied Scientist Rapidly growing 130+ person Australian owned, multiple roles Attractive salary package, flexible working hours Role Are you interested in understanding and countering influence through social and formal networks leveraging human-AI collaboration and integration. Then join us with shaping and growing our information warfare research and development portfolio. What You'll Do The Senior Applied Scientist position sits within the Innovation portfolio, where cross-disciplinary teams of data and computer-scientists, engineers and strategists work together to research, design, build and support projects and services across the Spectrum Management, Electromagnetic Warfare (EW) and Information Warfare (IW) domains. What You'll Bring You are an active researcher in a relevant discipline (behavioural science, applied mathematics or data science, for example) with a social science focus, and are passionate about developing and applying leading edge theory and technology to real-world problems in the national interest. You prefer to work collaboratively in cross disciplinary teams to achieve complex objectives. Desirable Knowledge and Skills Science : Contribute to the organisation's research goals by leading and conducting research into approaches for: Cognitive behavioural modelling and computational psychology to simulate human-decision making and human-AI teaming. Improve workflow integration; and more broadly, identifying information/influence campaigns. Forecasting the reach and impact of such campaigns, understanding effects in the human/social context, and exploring ways of countering influence campaigns Leadership. Lead research initiatives and provide motivation and inspiration to other staff members. Lead and participate in team meetings and activities and work reviews to deliver overall benefit to team goals. Lead and collaborate in reviews of work with others. Participate in reviews of, and identify and report issues and risks associated with, own work as appropriate. Engagement Establish strategic and working relationships within the company and with external organisations. Set up and foster research collaboration initiatives, including proposals for external funding, across research institutions and across disciplines. Engage with clients and end-users to shape concepts and conduct user evaluations. Communication Communicate fluently, orally and in writing Present complex information to both technical and non-technical audiences Teamwork The ability to work effectively with others to foster the exchange of ideas and leverage diverse expertise. Motivation A strong desire to learn and understand new concepts, technologies, and methods. Qualifications Bachelor's degree or Master's Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field (essential). PhD in related field is desirable. Join a sovereign Australian enterprise driving innovation to protect national interests, offering meaningful work, career growth, and a supportive, flexible environment. Consunet is headquartered in the Adelaide CBD with operations in Adelaide, Edinburgh (SA) and Canberra. We encourage applications from veterans and reservists-your experience is valued here. We support veterans through recruitment, flexible work, reservist leave, a Veterans Policy, dedicated points of contact internally, and an EAP specialising in defence. We invite veterans to voluntarily disclose their prior military service. We are committed to creating a diverse and inclusive workplace. People of all genders, cultures, and backgrounds are encouraged to apply. Consunet offers flexible work and an inclusive environment to support our people to thrive, with an EAP service which has specialist defence experience to support wellbeing. Security Clearance Applicants are required to be Australian Citizens and be eligible to hold and maintain an Australian Defence Security Clearance. Eligibility requirements can be found at . Benefits working for Consunet: A workplace that believes in innovation, quality, and a work-life balance Flexible, inclusive and friendly work environment Competitive remuneration Salary packaging options Study Loan Scheme Career and skills progression through training and development to team members Access to cutting-edge technology, research, and agile project management practices Mentoring and support from our experienced team members Please send your covering letter summarising your experience and current resume to , noting in the subject line: Consunet - Senior Applied Scientist About Consunet Consunet is headquartered in the Adelaide CBD with operations in Adelaide, Edinburgh (SA) and Canberra. We focus on the design, development, deployment and support of high-assurance software solutions - trusted software and systems that do exactly what they are supposed to, when and where they are supposed to do it, and with the cyber and security safeguards needed to protect it. We collaboratively work with customers to understand and solve complex problems, and to develop world-leading solutions that deliver enduring benefits. As a 100% Australian-owned and operated corporation, Consunet strives to be the country's leading cyber and spectrum security solution developer, and trusted industry partner to the Australian Defence and cyber security communities. A strong research and development and collaboration emphasis underpins our culture of innovation and excellence. We lead with vision to deliver trusted and sustainable outcomes for discerning and astute customers. Are you seeking a challenging career with an Australian technology leader? Consunet is a dynamic company on a rapid growth path. We are actively searching for suitably skilled Australians to join our team of trusted professionals.

Are you a curious and open-minded individual with an interest in conducting state-of-theart foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems 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 scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) 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 stateof-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, you will play a key part in 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 ML 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 a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. 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 patterns 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: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL,EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agentcoordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings anddevelopments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmicsolutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty andambiguity Preferred qualifications : High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). 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 and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. 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 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills 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. 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, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression . click apply for full job details

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 ️ London or Remote (UK) Base salary for this role is £110,500 - £145,000 (depending on experience) + stock options + Benefits Engineering Management at Monzo: Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work. The Engineering Manager role at Monzo is split into three pillars - people, product, and technical leadership. Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work. We're continuously hiring Engineering Managers as we continue to grow and build new teams. We hire on a pipeline based approached which means your application will be considered across all of our open EM positions. We use the interview process to assess your strengths and we'll match you to a role that best aligns with your experience. Of course, this is a collaborative process so you can also tell us which roles you're most interested in as you progress through interviews We're currently hiring across Platform, Core App, and Expansion. You'll spend your time: Taking accountability for delivery across your squad(s), collaborating with the Technical Lead and Product Manager. Actively fostering a high bar for engineering excellence within your teams. You're accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key. You'll initially lead a group of around 7-10 engineers (depending on the role) and support, coach and develop them through their career with regular 1:1s and continuous feedback. Partner with senior engineers in your area to drive technical initiatives that raise the bar for our engineering practices. Lead on communication with stakeholders from other teams, creating focus space for engineers to do their best work. Collaborate with the wider engineering organisation to contribute to company-wide best managerial and technical practices and standards. You should apply if: While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer in previous roles. We recognise that engineering managers lead in different ways, we're looking for someone who: Is comfortable operating with ambiguous problem areas with a high degree of autonomy. It's a bonus if you have experience working in an experimentation led environment. Has delivery experience and is able to guide the squads in achieving their outcomes. Focuses on outcomes over processes, who optimises for the highest impact and leverage. Is able to input, understand and challenge engineering decisions - but to empower the team to make those decisions themselves Has an understanding of what good looks like for a high-performing team of engineers and ability to chart a course to get there Is able to to coach people to achieve their goals Has a natural ability to inspire and motivate a team We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again. The interview process: After an initial informal 30 min recruiting call, our interview process involves two main stages: Initial Call Interview (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They'll ask example based questions ('Tell me about a time when ') Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below). The Loop is one stage, and the interviews in the Loop are: - Team and Org Management (1 hour) An example based interview with 1-2 of our engineering leaders. They're interested to hear examples from your previous experience on the teams you've led, how you've shaped and partnered with product, and the impact you had. - System Design (1 hour) You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise. - Behavioural (1 hour) Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager. - Chat with an Engineering Leader (30 mins) At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams - whatever's on your mind. All things going well, you'll have completed the hiring process Our average process takes around 3-4 weeks but we will always work around your availability. You'll have the chance to speak to our recruitment team throughout the process. If you'd like to ask a question sooner, email . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What's in it for you: Base salary range for this role is between £110,500 - £144,000 depending on experience + stock options & benefits ️ We can help you relocate to the UK We can sponsor visas We offer flexible working with no company mandate on how often you need to come into the office. You can be London based or remote within the UK (with ad hoc visits to our London office). 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 We're usually always hiring for Engineering Managers, so there's no closing date for this job. 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 , 2024 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 LinkedIn Profile 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. Select Please confirm your UK Right to Work status. Select 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 . click apply for full job details

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 ️ London or Remote (UK) Base salary for this role is £110,500 - £145,000 (depending on experience) + stock options + Benefits Engineering Management at Monzo: Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work. The Engineering Manager role at Monzo is split into three pillars - people, product, and technical leadership. Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work. We're continuously hiring Engineering Managers as we continue to grow and build new teams. We hire on a pipeline based approached which means your application will be considered across all of our open EM positions. We use the interview process to assess your strengths and we'll match you to a role that best aligns with your experience. Of course, this is a collaborative process so you can also tell us which roles you're most interested in as you progress through interviews We're currently hiring across Platform, Core App, and Expansion. You'll spend your time: Taking accountability for delivery across your squad(s), collaborating with the Technical Lead and Product Manager. Actively fostering a high bar for engineering excellence within your teams. You're accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key. You'll initially lead a group of around 7-10 engineers (depending on the role) and support, coach and develop them through their career with regular 1:1s and continuous feedback. Partner with senior engineers in your area to drive technical initiatives that raise the bar for our engineering practices. Lead on communication with stakeholders from other teams, creating focus space for engineers to do their best work. Collaborate with the wider engineering organisation to contribute to company-wide best managerial and technical practices and standards. You should apply if: While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer in previous roles. We recognise that engineering managers lead in different ways, we're looking for someone who: Is comfortable operating with ambiguous problem areas with a high degree of autonomy. It's a bonus if you have experience working in an experimentation led environment. Has delivery experience and is able to guide the squads in achieving their outcomes. Focuses on outcomes over processes, who optimises for the highest impact and leverage. Is able to input, understand and challenge engineering decisions - but to empower the team to make those decisions themselves Has an understanding of what good looks like for a high-performing team of engineers and ability to chart a course to get there Is able to to coach people to achieve their goals Has a natural ability to inspire and motivate a team We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again. The interview process: After an initial informal 30 min recruiting call, our interview process involves two main stages: Initial Call Interview (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They'll ask example based questions ('Tell me about a time when ') Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below). The Loop is one stage, and the interviews in the Loop are: - Team and Org Management (1 hour) An example based interview with 1-2 of our engineering leaders. They're interested to hear examples from your previous experience on the teams you've led, how you've shaped and partnered with product, and the impact you had. - System Design (1 hour) You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise. - Behavioural (1 hour) Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager. - Chat with an Engineering Leader (30 mins) At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams - whatever's on your mind. All things going well, you'll have completed the hiring process Our average process takes around 3-4 weeks but we will always work around your availability. You'll have the chance to speak to our recruitment team throughout the process. If you'd like to ask a question sooner, email . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What's in it for you: Base salary range for this role is between £110,500 - £144,000 depending on experience + stock options & benefits ️ We can help you relocate to the UK We can sponsor visas We offer flexible working with no company mandate on how often you need to come into the office. You can be London based or remote within the UK (with ad hoc visits to our London office). 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 We're usually always hiring for Engineering Managers, so there's no closing date for this job. 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 , 2024 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 LinkedIn Profile 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. Select Please confirm your UK Right to Work status. Select 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 . click apply for full job details