Google DeepMind

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated and experienced Research Scientist with strong engineering skills to join our team and contribute to groundbreaking fundamental research and deployment in Generative Media for images, videos and beyond. Our team aims to build and improve state of the art generative models for images, videos and other modalities. We are interested in candidates with significant hands-on experience in generative modelling techniques and who are familiar with the computer vision domain in general. You will need to be able to understand and work on the promising research directions, and implement them at scale. Therefore, both a strong technical background and hands-on experience with large-scale machine learning is required. You will collaborate closely with other leading researchers, contributing to the development of cutting edge generative models and translating research into products across Google and externally. About Us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We're looking for a versatile Research Scientist, at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas. Key responsibilities: Come up with ideas to solve new problems in Generative Media and improve performance and capabilities of existing models, e.g., developing, improving or evaluating the capabilities of models, or measuring outcomes. Develop technical solutions to test these ideas and assess performance. Report and present research findings and developments including results clearly and efficiently. Contribute to team collaborations to meet ambitious research goals. Engage with application and product needs, to inform research decisions. About You In order to set you up for success as a Research Scientist at Google DeepMind, we are looking for the following skills and experience: Ph.D. in computer vision, machine learning or closely related field. A proven track record of publications. Hands-on experience with Python and neural network training. Ability to communicate technical ideas effectively, e.g. through discussions, whiteboard sessions, written documentation. In addition, any of the following would be an advantage: Experience with controllable image and/or video generation. Good understanding of diffusion models. General experience in the computer vision domain. Hands-on experience with large scale training of models. Experience translating research innovations into product applications. Understanding of safety and ethical concerns associated with generative models.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot We are seeking a highly organised and proactive Administrative Business Partner with meticulous attention to detail, to join the existing assistant in the Executive Office directly supporting a Senior Exec. Together, you will play a key role in managing the day-to-day scheduling and operational needs to help drive the Senior Exec's priorities. This role requires a high degree of responsiveness and adaptability to meet the varying demands of a fast-paced, global team. You will be comfortable partnering closely with another assistant, managing a fluid workload and adjusting your schedule to effectively collaborate across different time zones. The role Key responsibilities: In partnership with the existing assistant you will act as a point of contact and enabler for the Senior Exec in their role across GDM, Isomorphic Labs and Alphabet; dealing with incoming requests and heavy email correspondence. Strategically and meticulously manage a very complex and ever-changing calendar across numerous time zones and different office locations. Proactively identify and resolve potential conflicts, demonstrating a strong solutions-oriented mindset. Optimise the Senior Exec's time in line with business priorities, through effective scheduling and triage of inbound requests, leveraging your knowledge of priorities and through cohesive collaboration with the wider OCEO team. Facilitate effective meetings by circulating agendas and briefing documentation, capturing notes and outcomes and tracking action items to ensure accountability and timely completion. Drive operational excellence by streamlining processes, implementing innovative solutions and contributing to the strategic direction of the assistant team. Develop a strong working relationship with the existing assistant team: thinking ahead, handling priorities, anticipating needs and future challenges and proposing solutions to enable effective decision-making. Understanding of key stakeholders; build and maintain effective working relationships across relevant GDM-wide cross-functional teams. Assist with the organisation and delivery of a wide range of internal and external events for the Senior Exec in partnership with key stakeholders, ensuring seamless execution and that the objectives are met. Frequent international travel required for on-the-ground support. Arrange domestic and international travel for meetings, international office visits and speaking engagements e.g. hotel reservations, flight check-in, visas, detailed travel itineraries and overseas transport. Financial administration e.g. compile expense claims, approve purchase order requests, contract creation, reimbursements, etc. About you With proven experience supporting senior executives in demanding, fast-paced environments, you are a highly resilient and adaptable Assistant comfortable splitting tasks and responsibilities across the team. You possess a strong work ethic, a positive and proactive approach, and a genuine commitment to continuous professional development. Your collaborative spirit and dedication to providing exceptional support make you a valuable asset to any team. With no task too big or small, you are a self-starter and a naturally strong problem-solver. You have the ability to make sound judgement and decisions even with incomplete information and adapt quickly to changing demands. Highly organized with excellent time management skills, including the ability to prioritize and manage multiple deadlines effectively, while thoughtfully managing expectations. A strong and empathetic communicator with high emotional intelligence. With confidence, you ask questions, make suggestions, and kindly challenge when needed. With strategic foresight, you're able to anticipate future needs, challenges and opportunities and plan accordingly. Able to demonstrate administrative excellence, you have an acute and exceptional attention to detail. Able to build relationships across teams and foster trust. Dedicated to continuous improvement and embracing new ways of working. Experience with Google Suite is preferable but not crucial. You're adaptable with a high degree of flexibility and happy to support outside of standard UK business hours as needed. Possessing high degrees of resilience, you seek out feedback and strive for continuous improvement. Trustworthy, discreet and impartial, with a high level of integrity and excellent sense of judgement. Excited about AI technologies and making a long-term contribution to Google DeepMind. Application deadline: Wednesday 26th Feb, 10.00am GMT Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming years. About Us We're a dedicated scientific community, committed to "solving intelligence" and ensuring our technology is used for widespread public benefit. We've built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don't set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals. The Role To succeed in this role you will need to be passionate about advancing science using recent breakthroughs in large language models, in addition to standard machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers and engineers exploring a diverse set of important scientific problems in biology, physics, mathematics and other areas. Our work is organised into several longer-term focus areas which aim to achieve step changes to the state-of-the-art (as exemplified in e.g. AlphaFold , AlphaMissense and FunSearch ). You'll leverage our unique mix of expertise, data and computational resources to experiment and iterate both rapidly and at scale. As an embedded LLM Research Engineer you will collaborate with researchers and software engineers to develop and run experiments exploring new applications of AI - particularly LLMs - to science problems. The team is pioneering in many different domains so you may take part in exploratory work validating early ideas or work in a maturing area to deepen and exploit a promising line of research. You may also contribute to the scientific knowledge and experience of the team with your own scientific domain knowledge. You will work with internal and external researchers on pioneering research bridging AI and science. Key responsibilities: Plan and perform rapid prototyping of machine learning techniques applied to problems in science. Undertake exploratory analysis to inform experimentation and research directions. Design and run scalable infrastructure and procedures to train and evaluate modern machine learning systems. Implement tools, libraries and frameworks, and build on existing systems, to speed up and enable new research. Report and present software developments, experimental results and data analysis clearly and efficiently. Collaborate with internal and external scientific domain experts. The role will suit candidates who enjoy working in a heavily experimental setting with large and noisy datasets and who wish to immerse themselves in innovative science, LLM, ML and AI research. About You In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience: In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience: Masters degree in computer science, electrical engineering, science, mathematics or equivalent experience. Experience working with large language models (LLMs), e.g. fine-tuning and inference. Experience working with large and noisy datasets. Experience with at least one programming language (with a preference for those commonly used in machine learning or scientific computing such as Python or C++). Knowledge of linear algebra, calculus and statistics equivalent to at least first-year university coursework. Experience exploring, analysing and visualising data. Experience using Jax, PyTorch, TensorFlow, NumPy, Pandas or similar ML/scientific libraries. In addition, the following would be an advantage: Experience with advanced LLM training and inference procedures e.g. RLXF and variants, retrieval, chain-of-thought and tool use. Experience scaling LLMs and optimizing for performance. Experience collaborating across fields. Scientific domain knowledge (particularly biology) Experience working with large, complex, distributed systems. When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously. However, except for scientific knowledge, since the role serves as a bridge between all three, some experience in each is necessary. Applications close: Tuesday 18th February at 5pm GMT.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking fundamental research and deployment in large scale pre-training. About Us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We're looking for a Research Scientist with a strong empirical and theoretical understanding of deep learning (architecture, optimisation, data, LLMs), as well as strong engineering skills and understanding of distributed systems. Key responsibilities: Develop strong intuitions grounded in scaling laws and theoretical insights that can lead to research breakthroughs and new model capabilities. Understand and measure effects of scaling on training dynamics and model performance via scaling laws and other analysis tools. Conduct modelling research: Use empirical and theoretical insights to derive novel research ideas that improve Gemini models. Dive deep into specific aspects of pre-training (modelling, optimisation, data) to understand and improve model dynamics. Collaborate with the wider Gemini team, engaging closely with the Data, Infrastructure and the Post-Training teams. About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: A PhD in machine learning or closely related field, or similar experience. A proven track record of large scale deep learning with hands-on experience with Python and neural network training (publications, open-source projects, relevant work experience, ). An in-depth knowledge of Transformer models and LLM training dynamics. Ability to communicate technical ideas effectively, e.g. through discussions, whiteboard sessions, written documentation. In addition, the following would be an advantage: Experience with GPU/TPU kernel development (Triton, Pallas). Experience with distributed systems and large scale deep learning performance optimisation. Experience with running large scale data processing pipelines. Closing date: Wednesday, 12th February 5:00pm GMT

We are hiring for this role in London, Zurich, New York, Mountain View or San Francisco. Please clarify in the application questions which location(s) work best for you. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot Our team is responsible for enabling AI systems to reliably work as intended, including identifying potential risks from current and future AI systems, and conducting technical research to mitigate them. As a Research Scientist, you will design, implement, and empirically validate approaches to alignment and risk mitigation, and integrate successful approaches into our best AI systems. About Us Conducting research into any transformative technology comes with responsibility to build mechanisms for safe and reliable development and deployment at every step. Technical safety research at Google DeepMind investigates questions related to evaluations, reward learning, fairness, interpretability, robustness, and generalisation in machine learning systems. Proactive research in these areas is essential to the fulfilment of the long-term goal of Google DeepMind: to build safe and socially beneficial AI systems. Research Scientists work on the forefront of technical approaches to designing systems that reliably function as intended while discovering and mitigating risks, in close collaboration with other AI research groups within and outside of Google DeepMind. Our culture We're a dedicated scientific community, committed to 'solving intelligence' and ensuring our technology is used for widespread public benefit. We've built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don't set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals. We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible. Roles We are seeking research scientists for our Gemini Safety and AGI Safety & Alignment (ASAT) teams. Gemini Safety Gemini Safety is seeking research scientists to contribute to the following areas: Pretraining In this role you will investigate new techniques to improve the safety behavior of Gemini via pretraining interventions. You will conduct empirical studies on model behavior, analyze model performance across different scales, experiment with synthetic datasets, data weighting, and related techniques. You should enjoy working with very large scale datasets and have an empirical mindset. Text output (core Gemini, reasoning models, Search AI mode, etc) This role is focused on post training safety. You will be part of a very fast paced, intense effort at the heart of Gemini to improve safety and helpfulness for the core model, and help adapt the model to specific use cases such as reasoning or search. Red teaming and adversarial resilience In this role, you will build and apply automated red teaming via our most capable models, find losses and vulnerabilities in our Gen AI products, including Gemini itself, reasoning models, image and video generation, and whatever else we are building. You may also work to improve resilience to jailbreaks and adversarial prompts across models and modalities, driving progress on a fundamentally unsolved problem with serious implications for future safety. Image and video generation This role is about safety for image and video generation, including Imagen, Veo, and Gemini. You will design evaluations for safety and fairness, improve the safety behavior of the relevant models working closely with the core modeling teams, and design mitigations outside the model (e.g. external classifiers). AGI Safety & Alignment (ASAT) Our AGI Safety & Alignment team is seeking research scientists to contribute to the following areas. Applied Interpretability The focus of this role is to put insights from model internals research into practice on both safety in Gemini post-training and dangerous capability evaluations in support of our Frontier Safety Framework . Key responsibilities: Rapid research ideation, iteration and production implementation of interpretability applications to address promising use cases. Adapting techniques emerging from collaboration with mechanistic interpretability researchers, as well as using other approaches such as probing and training data attribution. Inventing novel methods to address novel frontier AI advances. AGI Safety Research In this role you will advance AGI safety & alignment research within one of our priority areas. Candidates should have expertise in the area they apply to. We are also open to candidates who could lead a new research area with clear impact on AGI safety & alignment. Areas of interest include, but are not limited to: Dangerous Capability Evaluations: Designing evaluations for dangerous capabilities for use in the Frontier Safety Framework , particularly for automation of ML R&D Safety cases: Producing conceptual arguments backed by empirical evidence that a specific AI system is safe Alignable Systems Design: Prototyping AI systems that could plausibly support safety cases Externalized Reasoning: Understanding the strengths and limitations of monitoring the "out loud" chain of thought produced by modern LLMs Amplified Oversight: Supervising systems that may outperform humans Interpretability: Understanding the internal representations and algorithms in trained LLMs, and using this knowledge to improve safety Robustness: Expanding the distribution on which LLMs are trained to reduce out-of-distribution failures Monitoring: Detecting dangerous outputs and responding to them appropriately Control Evaluations: Designing and running red team evaluations that conservatively estimate risk from AI systems under the assumption that they are misaligned. Alignment Stress Testing: Identifying assumptions made by particular alignment plans, and red teaming them to see whether they hold About you You have extensive research experience with deep learning and/or foundation models (for example, a PhD in machine learning). You are adept at generating ideas and designing experiments, and implementing these in Python with real AI systems. You are keen to address risks from foundation models, and have thought about how to do so. You plan for your research to impact production systems on a timescale between "immediately" and "a few years". You are excited to work with strong contributors to make progress towards a shared ambitious goal. With strong, clear communication skills, you are confident engaging technical stakeholders to share research insights tailored to their background. In addition, any of the following would be an advantage: PhD in Computer Science or Machine Learning related field. A track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI. Experience in areas such as Safety, Fairness and Alignment. Engineering experience with LLM training and inference. Experience with collaborating or leading an applied research project. What we offer At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc. We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility). The US base salary range for this full-time position is between $136,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 12pm PST Friday 28th February 2025

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot Accelerate research in strategic projects that enable trustworthy, robust and reliable machine learning with a group of research scientists and engineers on a mission-driven team. Together, you will apply ML and other computational techniques to a wide range of challenging problems. A public example of recent work is SynthID , and we are actively pursuing other exciting projects across many disciplines. About Us We're a dedicated scientific community, committed to "solving intelligence" and ensuring our technology is used for widespread public benefit. We've built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don't set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals. The Role As a Research Scientist in Strategic Initiatives, you will use your machine learning expertise to collaborate with domain experts and other machine learning scientists within our strategic initiatives programs. Domains may include, but are not limited to, machine learning robustness, the provenance of synthetic media, and the trustworthiness of data. Key responsibilities: Engage with existing research efforts in the Strategic Initiatives Program to solve key challenges using your broad machine learning experience. Collaborate with researchers and machine learning engineers to identify and develop novel machine learning approaches to solve meaningful strategic problems. Report and present research findings and developments (including status and results) clearly and efficiently both internally and externally, verbally and in writing. Suggest and engage in team collaborations to meet research goals for the wider science programme. About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: PhD demonstrating significant advances in machine learning or equivalent practical experience. Passion for accelerating the development of safe machine learning using innovative technologies. Programming experience. Quantitative skills in maths and statistics. Experience with common scripting languages and pipelining tools. In addition, the following would be an advantage: Experience in applying machine learning techniques to problems surrounding robust and trustworthy deployments of models. Experience with GenAI audio or video models. Demonstrated success in delivering high quality research impact. Experience with adversarial robustness, data influence or watermarking. A real passion for AI! In assessing technical backgrounds, we will take a holistic view of the mix of scientific, machine learning, and computational experience. We do not expect you to be an expert in all fields simultaneously. Closing date: Friday, 14th February 5:00pm GMT

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot We are seeking an Administrative Business Partner to support up to three leaders, who can strategically manage the day-to-day operational needs and support on projects & initiatives to help drive team & company priorities. This role would suit someone who thrives in a fast-paced, changeable environment and enjoys working as part of a team. This role is available for a fixed term of 12 months. About Us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role Key responsibilities: Strategically and proactively manage a very complex and ever-changing calendar of meetings, conference calls, interviews appointments, across numerous time zones and different office locations. Supporting with operational tasks and processes; suggesting ideas for continuous improvement to increase efficiencies Collate and track actions and deliverables Meeting support - circulating agendas, capturing notes and ensuring actions are followed up on and are completed. Ensure meeting roles, agendas and briefing documentation are in place for each meeting. Develop a strong working relationship with each leader: thinking ahead, handling priorities, anticipating needs and future challenges, proposing solutions to enable effective decision-making. Understanding of the key stakeholders; build and maintain effective working relationships across the whole organisation. Draft and send out team communications. Organise and execute internal and external events for business and team events e.g. off-sites, lunches, talks, seminars, visitors. Arrange domestic and international travel for meetings, international office visits and speaking engagements e.g. hotel reservations, flight check-in, visas, detailed travel itineraries and overseas transport. Financial administration e.g. compile expense claims, approve purchase order requests, contract creation, reimbursements, etc. Act as a point of contact, dealing with incoming requests, requiring heavy email correspondence. About You You are a resilient Assistant, with experience working in a fast-paced environment. You are energetic, enthusiastic and have a keen interest to continue to develop your career in supporting and enabling others. Colleagues describe you as positive, warm, kind, trustworthy and efficient; with a can-do attitude, willingness to learn and a strong desire to grow. Passionate about supporting and enabling others, motivated by Leader support. Proactive, you are a self-starter and a naturally strong problem-solver; you can anticipate what needs to be done without guidance. Highly organised, you manage priorities well; juggling and handling multiple deadlines and tasks efficiently, whilst being able to manage expectations in a thoughtful way. Can adapt quickly to changing demands and embrace ambiguity Able to demonstrate administrative excellence, you have an acute and exceptional attention to detail. Solid communicator and active listener; you exhibit a high EQ. Able to build relationships across teams and foster trust. Collaborative and thrives in a team environment. Proactively seek out time-saving solutions and tools. Open to new ways of working, curious and dedicated to continuous improvement for yourself and the team. Experience with Google Suite is preferable but not crucial.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot We are seeking an Administrative Business Partner to support up to three leaders, who can strategically manage the day-to-day operational needs and support on projects & initiatives to help drive team & company priorities. This role would suit someone who thrives in a fast-paced, changeable environment and enjoys working as part of a team. About Us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role Key responsibilities: Strategically and proactively manage a very complex and ever-changing calendar of meetings, conference calls, interviews appointments, across numerous time zones and different office locations. Supporting with operational tasks and processes; suggesting ideas for continuous improvement to increase efficiencies Collate and track actions and deliverables Meeting support - circulating agendas, capturing notes and ensuring actions are followed up on and are completed. Ensure meeting roles, agendas and briefing documentation are in place for each meeting. Develop a strong working relationship with each leader: thinking ahead, handling priorities, anticipating needs and future challenges, proposing solutions to enable effective decision-making. Understanding of the key stakeholders; build and maintain effective working relationships across the whole organisation. Draft and send out team communications. Organise and execute internal and external events for business and team events e.g. off-sites, lunches, talks, seminars, visitors. Arrange domestic and international travel for meetings, international office visits and speaking engagements e.g. hotel reservations, flight check-in, visas, detailed travel itineraries and overseas transport. Financial administration e.g. compile expense claims, approve purchase order requests, contract creation, reimbursements, etc. Act as a point of contact, dealing with incoming requests, requiring heavy email correspondence. About You You are a resilient Assistant, with experience working in a fast-paced environment. You are energetic, enthusiastic and have a keen interest to continue to develop your career in supporting and enabling others. Colleagues describe you as positive, warm, kind, trustworthy and efficient; with a can-do attitude, willingness to learn and a strong desire to grow. Passionate about supporting and enabling others, motivated by Leader support. Proactive, you are a self-starter and a naturally strong problem-solver; you can anticipate what needs to be done without guidance. Highly organised, you manage priorities well; juggling and handling multiple deadlines and tasks efficiently, whilst being able to manage expectations in a thoughtful way. Can adapt quickly to changing demands and embrace ambiguity Able to demonstrate administrative excellence, you have an acute and exceptional attention to detail. Solid communicator and active listener; you exhibit a high EQ. Able to build relationships across teams and foster trust. Collaborative and thrives in a team environment. Proactively seek out time-saving solutions and tools. Open to new ways of working, curious and dedicated to continuous improvement for yourself and the team. Experience with Google Suite is preferable but not crucial.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot The Google DeepMind Impact Accelerator (GDI) has a unique role in Google DeepMind (GDM), to drive real world impact with solutions and resources built on GDM's technologies and expertise that extend the benefits to humanity. About us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role Working in partnership with GDI's leadership, you will develop and be responsible for a portfolio within our AI for Sustainability effort, including directing, organising and driving activities that advance the positive impact to sustainability in this domain area. This is an evolving and dynamic area of Google DeepMind with a collaborative, diverse group that partners closely with a wide variety of teams across Google DeepMind, Alphabet and a range of external partners. Key responsibilities Identify opportunities to use Google DeepMind technology to solve real-world problems in this domain, and determine the best approach and execution plans for prioritised ideas, alongside research, engineering and GDI teams. Bring together and motivate individuals (including Scientists and Engineers) from across Google DeepMind to work on projects related to AI applications to sustainability. Drive a portfolio of projects related to these applications, taking ownership of defining objectives, outlining strategies, and achieving results. Scope, prototype and launch solutions incorporating research improvements, ideas from stakeholders and the deep understanding of user needs and preferences you have developed, to ensure equal access and wide adoption of the solutions. Build and manage external ecosystem relationships in the specific domain. Deliver continuous success of programs against their objectives, evaluating them structurally and driving interventions when needed. Oversee budgets and resourcing, working closely with the team and program manager to optimise and manage it. The role will suit candidates who enjoy applying state-of-the-art AI to important real-world problems that maximise positive impact for the wider community. About you In order to set you up for success as the Sustainability Portfolio Lead at Google DeepMind, we look for the following skills and experience: Demonstrable experience and knowledge of driving sizeable programs relating to real world AI applications, from inception to delivery in a fast paced and dynamic environment successfully collaborating across multiple high performing stakeholders. Prior professional experience and/or an academic background in an area of sustainability, such as climate, biodiversity or material sciences. Confidence and effectiveness in engaging researchers and engineers. While not an ML specialist yourself, you are able to understand the considerations related to AI research and technologies. Program and Product Management experience; crafting strategic product roadmaps from conception to launch, driving decisions based on insights driving equitable usage. High quality and ethical standard that is showcased on your approach on making decisions and communicating results. Management experience and a proven ability to collaborate with a variety of talented colleagues, teams and partners. Outstanding communication skills and ability to work with both tech and non-tech teams and senior leadership. A passion for Google DeepMind's mission and knowledgeable and excited about AI and its potential for scientific and real-world impact. Deadline to apply: 5pm GMT, Sunday 5th January Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy .