Founded in the UK in 2010 and acquired by google in 2014, Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. An team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. They use their technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Now wanting to expand his team with new software engineers, ML engineers and AI engineers.

deepmind

Snapshot Make Gemini App the most personal assistant. Build personalization-related user-facing features spanning both the Gemini App stack and the Gemini models behind it. Identify quality gaps and issues, and take end-to-end ownership over the improvements. Work closely with research scientists, other software engineers, and cross-functional partners. 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 Join the Gemini App Personalization team in order to make Gemini App the most personal assistant. Gemini App is Google’s flagship LLM product, where you'll contribute to building cutting-edge personalization features on top of state-of-the-art Gemini models. Personalization is a top priority for the Gemini App, as we aim to: Build and launch new Gemini App personalization features and capabilities across all surfaces and powering all other Gemini App features and components. Expand or develop new personalization-related capabilities (e.g. understanding relevant personal information and using it appropriately in model responses and tool invocations) spanning both the Gemini App stack and the state-of-the-art Gemini models that are powering it. Personalization features and capabilities are reaching hundreds of millions of users and are frequently highlighted by leads in high visibility external events (e.g. Google I/O, Made by Google). Key responsibilities: Act as primary owner and critical judge for specific Personalization features/areas. You will define the key metrics, evaluation standards, and acceptance criteria that guide development. Own the end-to-end lifecycle of complex quality or infrastructure improvements from hypothesis and experimentation to production deployment across both fine-tunable and frozen model architectures. Propose and take end-to-end ownership over targeted quality or infrastructure improvements. Partner closely with research scientists, engineers and cross-functional partners (product and program managers) to advance the business goals of the organization. Influence and align with senior stakeholders and cross-functional leaders (Product, Research, Program Management) to shape the multi-quarter Personalization strategy and maximize organizational impact. About You In order to set you up for success as a Software Engineer at Google DeepMind, &nbsp;we look for the following skills and experience: Proficiency in Python / Google Colab / C++ Bachelor's degree in Computer Science or a related technical field Experience working with Machine Learning models (preferably Large Language Models) in a production environment Strong problem-solving and analytical skills, with the ability to design and execute complex experiments Experience building and shipping features for large-scale, user-facing products. In addition, the following would be an advantage:&nbsp; Experience with large language models Modeling and Evaluation (System instructions optimization, Context engineering, Eval design, Supervised Fine-Tuning, …) Experience with large language models Modeling for improving Personalization capabilities Experience in a role requiring close collaboration with research or applied science teams A proven ability to navigate ambiguity and translate high-level product vision into a concrete technical roadmap and shipped features. &nbsp; 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. Application deadline: 12pm CET, 31st March 2026&nbsp; 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. &nbsp;

Software Engineer, Personalization, Gemini App, Google DeepMind

Snapshot Kaggle is the world’s largest AI and ML developer community with over 5.6 million monthly active users and 30 million registered users. Kaggle is currently evolving from static ML competitions to becoming a trusted industry standard for AI evaluation with community at its heart. As a Senior Product Manager at Kaggle, you will be at the forefront of driving this transformation, leading initiatives across our AI evaluation platform, community growth, and cutting-edge research to define "what works" in the modern AI landscape. 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. Within Google DeepMind, Kaggle operates as an independent brand with a vital mission: to help the world understand what works (and what doesn't) in AI. We empower a community of researchers, developers, and frontier labs by providing the ultimate arena to learn, build, and evaluate the next generation of AI systems. The Role To tackle Kaggle’s ambitious mandate, we are expanding our product team with multiple hires. We are looking for action-oriented, "AI native" leaders who can help a team execute efficiently in a highly ambiguous environment. Rather than forcing a one-size-fits-all role, we will align your specific product portfolio with your unique superpowers. Whether your strength lies in building robust developer platforms, scaling global developer communities, or productizing frontier AI research, you will play a pivotal role in redefining how the industry evaluates AI. Key responsibilities: Lead Product Vision: Drive the strategy and execution for a core pillar of Kaggle's AI evaluation portfolio, whether that is unifying our AI Evals Platform, scaling top-of-funnel growth, or expanding our agent arena offerings. Champion the Developer Experience: Design intuitive, scalable workflows that balance ease-of-access with research-grade quality, enabling developers and researchers to seamlessly publish, test, and rank agentic systems. Scale the Ecosystem: Launch strategic features, integrations, and partnerships that meet developers where they are, expanding Kaggle's reach and influence across the global AI community. Productize the Frontier: Identify emergent AI evaluation trends and novel paradigms, translating them into scalable platform features that act as a "north star" for the industry. Drive Internal &amp; External Impact: Partner cross-functionally with Google teams and external frontier labs to ensure Kaggle’s aggregate signals directly inform and accelerate foundation model development. Build Sustainable Systems &amp; Business Models: Address complex platform scaling challenges, such as implementing flexible compute options to support compute-heavy agentic evaluation workloads. About You In order to set you up for success as a Senior Kaggle Product Manager at Kaggle within Google DeepMind, we look for the following skills and experience: Requirements&nbsp; 7+ years of product management experience, with a proven track record of successfully shipping and scaling complex, highly technical software products. Deep domain expertise in the modern AI ecosystem, with a hands-on, opinionated understanding of LLMs, agentic frameworks, and current methodologies for model benchmarking and evaluation. Demonstrated experience building developer-facing tools, APIs, SDKs, or platform ecosystems that require an obsession with Developer Experience (DX). Comfort with ambiguity and the ability to define product direction in a fast-moving, novel space. In addition, the following would be an advantage:&nbsp; Strong existing network or previous experience working directly with top-tier AI labs, research organizations, or open-source AI communities. Expertise in community growth loops and creator-consumer flywheels, including measuring user journeys and scaling developer engagement. Proven success in commercialization or unit economics for large open-source or developer ecosystems. The US base salary range for this full-time position is between $192,000 USD - $278,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: March 24, 2026&nbsp; 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. &nbsp; &nbsp; &nbsp;

Senior Product Manager, Kaggle, North America

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At 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 As a product manager at Google DeepMind you will be responsible for shipping cutting edge AI research breakthroughs into Google’s AI models and products. As a PM on Frontier AI within GDM you will be working with brilliant AI researchers who are focused on making the biggest advances across new model architectures, AGI and advanced applications like Agents and Robotics. As the PM for Information Quality within Frontier AI, your job will be to understand the implications of generative AI on the broader societal information ecosystem. You will tackle critical challenges surrounding misinformation, advance the detection and provenance of genAI content, and analyze the shifting economics of information in a society augmented by AI. In addition to shipping robust safety and information integrity advances into our existing models, you will work closely with researchers to incubate new agentic tools designed to promote information literacy and help users navigate an increasingly complex digital world. Key responsibilities: Understand the societal impact of new generative models and drive research breakthroughs in information quality, provenance, and trust. Build collaborations with product teams across Google (e.g., Search, YouTube, News) and model development teams to ship cutting-edge genAI detection and misinformation mitigation technologies. Work with researchers to envision, develop, and ship new agentic tools aimed at enhancing human information literacy and critical understanding of AI-generated content. Investigate and model the economics of information to ensure sustainable, high-quality knowledge creation and dissemination in an AI-abundant future. Evangelize research in AI safety and information integrity, making technical breakthroughs as self-serve and platformized as possible to scale across Google products. Sometimes, incubate entirely new products or frameworks focused on societal resilience and trust. About You In order to set you up for success as a Product Manager at DeepMind, &nbsp;we look for the following skills and experience: BSc, MSc or PhD in Computer Science, Information Science, Economics, or a related field. Deep understanding of AI models and their implications for content generation and dissemination. Demonstrated experience in building AI products rooted in trust &amp; safety, information retrieval, content provenance, or misinformation detection. A rich understanding of the current societal challenges posed by generative AI, including the economics of the web and digital information ecosystems. Ability to stay up-to-speed on all relevant research in synthetic content detection, watermarking, and agentic systems. Ability to build clear visions and strategies for translating complex societal challenges into scalable product features or tools. Strong ability to communicate complex technical and societal concepts with great simplicity. Very strong ability to collaborate in high stakes environments with multiple senior stakeholders, policy experts, and technical leads. &nbsp; The US base salary range for this full-time position is between $240,000 USD - $334,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: April 3, 2026 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 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. &nbsp; &nbsp; &nbsp;

Product Manager, Information Quality, Frontier AI

About Us Artificial Intelligence could be one of humanity’s most useful inventions. At 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 As AI agents become more capable and autonomous, they introduce an entirely new frontier of security challenges. This role is about setting the multi-year vision for the fundamental security paradigms required to ensure agents remain safe, aligned, and resilient against attack as they advance toward AGI. You will be the single-threaded product owner responsible for the strategy that addresses the full spectrum of agent-related threats, including Prompt Injection, Anti-Distillation, and other novel Threats against AI. Your scope will also include defining the product roadmap for ensuring System Integrity and developing the foundations for long-term AGI Control. The "product" is the end-to-end security posture and resilience of our agentic systems. You will own and navigate the complex trade-offs between agent capability, research velocity, and security, influencing and aligning senior leadership across Google to chart our path for deploying trustworthy agents. Key responsibilities: Define and own the multi-year vision, strategy, and roadmap for a portfolio of Agent Security initiatives. Lead the product definition and strategy to defend against a wide range of threats, including prompt injection, anti-distillation, and adversarial misuse. Define the product roadmap for long-term, scalable AGI Control, in partnership with Google’s foremost research and safety teams. Own the entire product lifecycle for Agent Security initiatives, from navigating ambiguous early-stage research to driving execution on large-scale strategic bets. Drive strategic alignment and secure buy-in from senior leadership (Director, VP, and SVP) across DeepMind and Google. Serve as a leading subject matter expert and thought leader on Agent Security within Google. Lead and influence complex, cross-functional initiatives, bridging the gap between novel research, applied engineering, and scaled product deployment. About You In order to set you up for success as a Senior Product Manager at Google DeepMind, we look for the following skills and experience: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management. Experience taking complex, technical products from initial concept to successful launch and scaled impact. Deep technical expertise in AI/ML and Cybersecurity. Proven ability to manage a portfolio of complex, multi-year strategic bets, from research to large-scale product commercialization. Experience defining novel metrics and quantitative goals for large-scale, technically complex problems. Exceptional executive communication skills; ability to simplify complex technical and security concepts for senior leadership. Demonstrated experience leading large, complex, cross-functional initiatives in highly ambiguous, zero-to-one domains. In addition, the following would be an advantage: Hands-on experience in AI Security (e.g., adversarial ML, red teaming, jailbreaking), foundational AI research, or deep systems-level security (e.g., building secure infrastructure, automated defenses). Hands-on experience in software development or engineering. A track record of influencing and driving ambitious, multi-year "moonshot" style initiatives from concept to reality. &nbsp; The US base salary range for this full-time position is between $192,000 - $278,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: April 8, 2026 &nbsp; At 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, maternity 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. &nbsp; &nbsp; &nbsp;

Senior Product Manager, Agent Security

Snapshot We are the Information Verticals team for the Gemini App, bringing search, maps, shopping and other information-related features to both the web and mobile Gemini applications. We are a fast-paced organization bringing features from ideation to launch in a matter of months. We are a non-bureaucratic, innovative, bottom-up organization. We are seeking an experienced and self-motivated Software Engineer with particular expertise in quality and AI applications to ensure the Gemini applications deliver world-class, reliable, and personalized experiences. &nbsp; About Us Within the Information Verticals team, the Shopping team is at the forefront of Google's shift towards agentic experiences. We are redefining how users discover, research, and purchase products by combining the reasoning capabilities of Gemini with the comprehensive data of the Shopping Graph. To constantly innovate, we work closely with various Google DeepMind (GDM) research units. Following a breakout year with two major launches in Q4 (launch announcement) that were well received in the press, we have established a new baseline for highly visual agentic shopping. We have one of the highest favorability &amp; retention metrics on GeminiApp have and were featured prominently in the recent "Personal Intelligence" launch (launch, Sundar tweet). This role offers the unique opportunity to make impact on a high-growth vertical that is already seeing massive traction,).&nbsp; &nbsp; The Role Join Google DeepMind's mission to advance science and benefit humanity by solving intelligence. We are seeking an experienced and self-motivated Software Engineer with a passion for quality to ensure the Gemini applications deliver world-class, reliable, and personalized experiences. In this role, you will be building new features in the Gemini product, focused on shopping and other information-related verticals like search, maps &amp; news. You’ll prototype new LLM applications, design and implement evaluation metrics, collection evaluation data, analyze model responses, and conduct prompt engineering in order to ship high-quality features to our users.&nbsp; This is a rare opportunity to shape a new era of technology, accelerating development with the latest AI models and collaborating with AI to build high-fidelity user experiences. You will see your work in the hands of users frequently and quickly. As a key contributor to one of Google's top efforts for 2025, you will help shape the future of AI. &nbsp; What You'll Do Implement sophisticated LLM-powered systems, including context engineering, agentic workflows with tool use, and robust evaluation frameworks. Dive deep into model behavior, creating high-quality, diverse, and challenging evaluation datasets to identify weaknesses and guide improvements. Make improvements to the serving and evaluation infrastructure to power new features. Develop and scale evaluation solutions (auto-raters, human evals) to continuously monitor and improve the performance of LLM-powered features. Drive collaboration with cross-functional partners (Product, UX, Research) to translate user needs into intuitive and valuable features within the Gemini ecosystem. Collaborate with GenAI research teams to integrate product-driven data and evaluations to the base Gemini models. Analyze user data and model outputs to enhance the quality of personalized experiences, ensuring Gemini is helpful and relevant for every user. Champion a culture of quality, defining metrics, setting standards, and driving best practices for LLM evaluation and responsible AI development. &nbsp; About You We seek out individuals who have the skill and passion to design and build high-quality components, while simultaneously being willing to move fast and pivot when necessary. We are looking for strong and adaptable engineers who are obsessed with quality and have a deep understanding of how to measure and improve AI systems. You are a flexible problem-solver, comfortable inventing novel solutions and quickly pivoting when ideas need to change. In order to set you up for success as a Software Engineer on GeminiApp, we look for the following skills and experience: User-centric vision and passion for shipping best products to our users, with a strong track-record of shipping multiple successful consumer features. Experience working with a small team in a startup-like environment with rapidly changing priorities as product needs evolve A deep understanding of Generative AI and Large Language Models. Direct experience with building evaluation datasets, LLM evaluation techniques, human rating paradigms, or building automated raters. Proven experience in loss analysis, quality hillclimbing, prompt engineering, and optimization. Strong background in data analysis, experimental design, and statistical methods. Proficiency in Python, having experience with C++ is a plus. Excellent communication and collaboration skills, with the ability to translate complex quality issues into actionable plans for diverse, cross-functional teams. In addition, the following would be an advantage: Experience with common ML frameworks (e.g., PyTorch, JAX, TensorFlow). Familiarity with user metrics logging and A/B testing for ML-powered products. Proven knowledge and experience building scalable, efficient C++ backend infrastructure components within a complex distributed system. Experience with standard Google technologies including Boq, Stubby, StreamZ, Mendel and Sawmill. &nbsp; The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. 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&nbsp;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 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. For fairness reasons, Recruiters and Hiring Managers do not offer informational calls. If you are interested in learning about the role, please share a copy of your CV and a cover letter with the Recruiter listed via email (not G-Chat) and they will process your application. Please avoid reaching out to the Hiring Manager directly, as this can cause delays in processing your application.You will receive updates on the status of your application through our standard recruitment channels, and if you are shortlisted for the position, we will contact you to set up an initial interview where you will have the opportunity to ask questions and learn more about the position. &nbsp;

Software Engineer, GeminiApp Info Seek Quality

Snapshot The Code PM will be responsible for setting and driving a strategy for Gemini’s coding ability, with the goal of making Gemini the best models for developers both within and outside Google. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At 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. Key responsibilities: Lead the product strategy for Gemini’s coding abilities, by creating a cohesive roadmap for key use cases and product priorities Lead Gemini’s strategy in the development of an agent to support developers in their critical workflows Develop a strong set of evaluations for key use cases and a data strategy that encompasses quality, style, and collection approaches Drive critical model improvements for the key use cases, in partnership with the right surfaces and UX to enable Gemini adoption. Partner with the broader ecosystem to identify new features and capabilities for AI-powered code Look ahead to new &amp; emerging coding use cases, and develop solutions for these efforts About You In order to set you up for success as a Product Manager at DeepMind, &nbsp;we look for the following skills and experience: BSc or MSc in Computer Science or equivalent technical field At least 5 years of PM experience (or equivalent sets of landings) In addition, the following would be an advantage:&nbsp; Previous experience as a developer and/or personal involvement in developer communities Track record of driving launches through complex stakeholder management. Ability to deliver products that drive customer success and market leadership. Previous experience working on ML/AI products. &nbsp; The US base salary range for this full-time position is between $192,000 - $278,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: April 14, 2026 &nbsp; At 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, maternity 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. &nbsp; &nbsp; &nbsp;

Senior Product Manager, Code

Snapshot&nbsp; We are seeking an Administrative Business Partner to support between one to three leaders, who can strategically manage the day-to-day operational needs and support on projects &amp; initiatives to help drive team &amp; company priorities. This role would suit someone who thrives in a fast-paced, changeable environment and enjoys working as part of a team that is both locally and globally distributed. This role is available for a fixed-term contract of 12 months. About Us&nbsp; 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. You may be involved in assisting and leading on site specific initiatives within Google DeepMind. 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. &nbsp; 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.&nbsp; Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI’s responsible use, risks, and limitations. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;

Administrative Business Partner, Fixed Term Contract

Snapshot This is a career-defining opportunity to take on a senior role within the&nbsp;existing Assistant team supporting the Co-Founder and CEO of Google&nbsp;DeepMind. Please read this section carefully before applying as this is not a&nbsp;traditional Executive Assistant role. We are seeking a true business partner&nbsp;with exceptional judgment, meticulous attention to detail and the resilience to&nbsp;thrive under immense pressure. Supporting a leader of this prominence requires a departure from the traditional 9-to-5 model and the role requires&nbsp;flexibility as the schedule dictates. You won’t be working alone however. You&nbsp;will be part of a high performing team that collaborates seamlessly to ensure&nbsp;the CEO is supported 24/7 through a highly coordinated effort. Within the&nbsp;Office of the CEO this role will form a team of three Assistants; two in London&nbsp;and one in New York. 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&nbsp;experts and more, working together to advance the state of the art in artificial&nbsp;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: Global Continuity &amp; Scheduling: You will manage a complex, high-volume, and ever-changing calendar. You are entrusted to assess the strategic weight of every meeting, proactively shield the CEO’s focus, and triage urgent issues, acting as an escalation point for the team. You will coordinate closely with your global counterpart(s) to ensure coverage across time zones. &nbsp;Complex Logistics &amp; Travel: You will execute intricate international travel arrangements, often with short notice. You will anticipate logistical challenges and provide on-the-ground support when required. Note: This role includes international travel. Stakeholder &amp; Diplomacy: You will act as a strategic guardian and ambassador for the CEO. You will cultivate trusted relationships with a global network of stakeholders including Heads of State, Nobel laureates, the Alphabet C-Suite, and the world's leading academic minds. Your communication and diplomacy must be flawless. Strategic Communication: You will serve as a critical extension of the CEO, expertly prioritising emails, delegating action items and ensuring he is briefed and prepared for every interaction. Strategic Judgement: You will exercise autonomous judgment to validate calculated risks that drive momentum, while acting as a decisive guardrail to prevent unnecessary risks Project Leadership: You will drive critical projects from conception to completion in a highly ambiguous and fast-moving environment. You will work across the CEO’s business and&nbsp;Private teams to ensure that his life runs as a single, cohesive ecosystem. Leveraging deep context you will preemptively identify risks and deploy solutions to ensure uninterrupted momentum. Operational Architecture: You will design, build and refine the operational infrastructure that powers the Office of the CEO. You will proactively identify areas of friction and engineer scalable workflows to elevate the administrative team’s performance. About You This role would suit a seasoned strategic partner who thrives in high-velocity environments. With an extensive background supporting C-Suite leaders at a global scale, you possess the sophistication to navigate complex organisational structures with ease. You have a significant and demonstrable track record supporting a world-renowned Founder, CEO, or equivalent principal in a high-intensity, global environment. &nbsp;You are able to seamlessly reprioritise with calm and composure and you approach sudden schedule changes as a logistical puzzle to be solved, not a disruption. You are a strategic force multiplier who sees the patterns others miss, consistently staying two steps ahead. Your ability to distinguish impact from activity ensures focus remains on critical objectives. You bring a ‘whatever it takes’ attitude and seamlessly toggle between driving high-level initiatives and the more granular administrative minutiae with equal precision and dedication. You recognise that elite support is not a 9-to-5 endeavour. You possess the flexibility to align with the CEO’s schedule, including evening and weekend coverage as required. You are a driver of operational excellence, with impeccable judgement&nbsp;and ironclad discretion. You thrive in ambiguity and bring order to chaos. You are resilient, calm&nbsp;under pressure and operate with a low ego and high integrity. You’re able to operate in lockstep with the wider administrative team&nbsp;and the Private Office to create a seamless bridge between&nbsp;professional commitments and personal logistics. You are results-driven and action oriented, able to work at pace with&nbsp;accuracy and take initiative to deliver exceptional outcomes. You are a master of your craft, with deep expertise in managing&nbsp;complex calendaring, global travel, and the G-Suite of tools. You have a genuine and deep interest in the mission of Google&nbsp;DeepMind and the use of AI tools to further enhance your impact. 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. &nbsp;

Executive Business Partner, Office of the CEO

Snapshot We are looking for Research Scientists to join the Autonomous Agents team, and produce research in the development of next-generation technologies to power increasingly open-ended autonomous agents which strive to assist, support, and supplement humans in their daily personal and professional lives. Specifically, we are looking for researchers interested in topics along the lines of:&nbsp; Enhancing the fast online adaptation of state-of-the-art models, enabling them to efficiently compound knowledge at inference in agentic tasks, and learning from experience;&nbsp; and/or the continual consolidation of experience into model parameters, using methods such as distillation and reinforcement learning;&nbsp; and/or the development of self-improvement methods which are robust to degeneracies such as model collapse or reward hacking. 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 Within the team, Research Scientists are encouraged to lead/support a research agenda aimed at producing practically applicable technological advances in the ability of increasingly autonomous agents to assist, support, and empower humans.&nbsp; The expectation is that research scientists will conduct novel research according to ambitious long-term agendas, while maintaining a strong focus on methods and tools offering practical benefits in the short term as a form of pragmatic grounding. Central to this process is the idea that rapid iteration over and refinement of solutions catering to real-world use-cases provides a strong basis for better understanding the research boundary in a fast paced field. Key responsibilities:&nbsp; Participate in the ideation and development of new use-cases and desired capabilities of human-oriented agents of any form, advised by the current state of research. Partner with research engineers to develop ambitious prototypes pertaining to desired or anticipated agent use-cases, and design and implement evaluation protocols around these prototypes. Identify, motivated by empirical study of existing methods' failures or limitations on use-case-based evaluations, the roadblocks and research challenges, and...&nbsp; ...develop novel technical or methodological solutions to overcome such obstacles and limitations. Identify sources of data, design and implement data collection processes (supported by research engineering partners), and conduct human annotation and evaluation campaigns for the production and evaluation of strong baselines for each use-case. Help identify, within Google DeepMind’s broad portfolio of research projects, methods which could be adapted or tried against our evaluations, as well as teams and individuals with which the team could partner to overcome challenges whilst providing grounding and evaluation for that collaborator's research agenda. About You In order to set you up for success as a Research Scientist, we look for the following skills and experience:&nbsp; A PhD in a technical field or equivalent practical experience. This specific role is targeting recent graduates, and the ideal candidate will be willing to work closely with one or more senior researchers on established high-value projects. Experience in a research domain connected to the production of increasingly autonomous human-oriented agents, (e.g. LLM-powered agents, RL/IL, applications in NLP, evaluation design). A desire to produce the next generation of agentic systems capable of learning from and efficiently adapting to deployment in real-world scenarios. A strong technical background in RL, Imitation Learning, Distillation, and working with/designing environments. Experience with In-Context Learning, Continual Learning (either in the context of RL or LLM) In addition, the following would be an advantage: Strong end-to-end system building and prototyping skills. Experience with one or more of: fine-tuning LLMs, running human data collection/annotation campaigns, self-play, multi-agent systems, meta-learning, meta-RL, and/or skill-discovery. Experience with open-ended learning, RL, and frontier methods for training LLMs (RLVR, RLHF, RLAIF, multi-turn RL, multi-agent interactions, reward function design and modelling, etc.). A curiosity about, or experience with research topics surrounding personalization, memory, reasoning, self-improvement, and safety.&nbsp; Experience with designing and evaluating agentic tasks. Closing date: Monday, 2nd March 2026 at 10:00am 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.

Research Scientist, Autonomous Agents — RL

Snapshot Accelerate research in strategic projects that enable trustworthy 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 exciting projects in the space of data trustworthiness. 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, multimedia GenAI pre-training, post-training and inference with an emphasis on data influence and trustworthiness. 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. Engage with product teams to drive the deployment of our research. 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. Demonstrated success in delivering high quality research impact. Experience with GenAI models for multimodal (image, audio, video) across the training and inference lifecycle. Experience with data influence, similarity-based embeddings and auto-raters. Programming experience across common scripting languages and pipelining tools. A real passion for AI! In addition, the following would be an advantage:&nbsp; Experience in robust and large-scale deployment and inference of those models. 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. 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.

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