Snapshot

We are seeking a Manager, Applied AI to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.

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

This role requires a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. We are looking for a manager who thrives in fast-paced environments, and has the proven ability to deliver high-quality code & guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.

Key responsibilities

• Lead a team in the design and development of scalable software applications leveraging generative AI models.
• Guide the team in rapidly developing new features and iterating based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Oversee the optimization of software performance and ensure the reliability of deployed applications.
• Champion the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.
• Mentor and develop team members, fostering a collaborative and high-performing environment.
• Partner with PM team to qualify & size new project opportunities.

About you

In order to set you up for success as a Manager, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
• 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Proven experience managing software engineering teams.
• Strong software engineering skills; proficiency in Python.
• Proven experience in developing and shipping software products rapidly.
• Experience evaluating model performance, analyzing results, and implementing improvements.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
• Ability to work in a fast-paced environment and adapt to changing priorities.
• Excellent communication, collaboration, and leadership skills.

Preferred Skills

• Experience with generative AI research or applications.
• Contributions to open-source projects.
• Experience with front-end development.
• Experience working in, or founding early-stage startups.
• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

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.

The Role

We are seeking an experienced and hands-on Software Engineer for a fixed-term contract to join the Energy Grids team at Google DeepMind. In this individual contributor role, you will work at the cutting edge of power systems and machine learning, developing and deploying innovative AI solutions to optimize the operation of electrical power grids. Your work will be critical to delivering a real-world validation of our approach, with a primary focus on core software engineering tasks to:

• Enable rapid, trustworthy experimentation.
• Maintain rigorous benchmarking and testing.
• Manage scale for both data and model size.
• Ensure and maintain high data quality for both real-world and synthetic data.

Key Responsibilities

• Design, implement, and maintain robust and reliable systems and workflows for generating large-scale synthetic and real datasets of power grid optimization problems.
• Design and implement rigorous unit, integration, and system tests to ensure the reliability, accuracy, and maintained performance of our models and software, with a focus on data pipelines.
• Maintain and contribute to our machine learning codebase, ensuring efficient data structures and seamless integration with our power system models and optimization solvers.
• Ensure the codebase supports ongoing experimentation, while simultaneously increasing scalability, robustness, and reliability via improved integration testing and performance benchmarking.
• Work closely and collaboratively with a team of engineers, research scientists, and product managers to deliver real-world impact.

Minimum Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• Excellent proficiency in C++, Python, or Jax.
• Demonstrated experience developing or utilizing solutions for robustness or quality assurance within software and/or ML systems.
• Experience processing, generating, and analyzing large-scale data, e.g. for ML applications.
• Proven ability to discuss technical ideas effectively and collaborate in interdisciplinary teams.
• Motivated by the prospect of real-world impact and focused on excellence in software development.

Preferred Qualifications

• Experience with Google's technical stack and/or Google Cloud Platform (GCP).
• Familiarity with modern hardware accelerators (GPU / TPU).
• Experience with modern ML training frameworks, such as Jax.
• Experience in developing software in a translational research or production setting.
• Proficiency in Julia

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

The Robotics Operations team is looking for a Technical Program Manager to support the Google DeepMind Robotics research organization by providing robot platforms, lab spaces, data collection and policy evaluation resources to solve "Embodied AI."

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

As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind's Embodied AI goals in a safe and responsible way. 

Key responsibilities

• Partner closely with the data collection teams to establish and govern our internal data collection efforts.
• Partner closely with research teams to ensure seamless delivery of new evaluations and data collections.
• Ability to work with partners to advance and deliver cross-functional goals.
• Apply expertise in program management methodologies, tools, and relevant industry knowledge in Robotics to drive program success.
• Monitor and report on operational efficiency and resource utilization metrics.
• Oversee design and implementation of new environments for data collection or robot platform modifications with the Engineering team.
• Evaluate and improve processes, tools, templates and documentation for repeatability and sustainability.
• Implement processes and methodologies to reduce operational costs.
• Facilitate conversations, meetings and opportunities for collaboration to drive the best outcomes; create connections and relationships.

About you

The Technical Program Manager must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind’s research through strategic cross-functional partnerships.

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

• Experience partnering with Research/Engineering leads on high impact, goal oriented, projects.
• Bachelor’s degree in an engineering discipline along with equivalent practical experience 5+ years .
• Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.
• Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence.
• Experience in solving complex challenges, implementing scalable and sustainable solutions.
• Knowledge of, or curious to learn about AI/machine learning research.
• Familiar with hardware and software testing and associated safety protocol.

In addition, the following would be an advantage: 

• Robotics domain knowledge and experience.
• Master’s degree in a relevant field (Robotics/AI).  
• Experience managing operational teams.
• Experience in a technical lab or production environment.

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

The mission of Agents Innovation is to create a powerful innovation flywheel that accelerates the development of next-generation agents, delivering continuous model improvements to Gemini and enabling seamless agentic deployment across Google’s product ecosystem.

As a Technical Program Manager for Agents Innovation, you will be at the heart of this flywheel. You will bring the execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products.

Key responsibilities:

• Orchestrate the Innovation Flywheel: Manage the lifecycle of agentic innovations from early research bets to incubation and upstreaming into the unified Gemini recipe.
• Lead complex engineering workstreams focused on core agentic capabilities.
• Drive the development and adoption of eval benchmarks to ensure model improvements are rigorously validated on benchmarks like SWE-bench and GDPVal.
• Cross-Functional Integration: Build resilient pathways between DeepMind technical experts and partner product teams, ensuring a "multi-way win" where a single agentic advancement (e.g., skill writing) unlocks value across multiple Google surfaces.

About You

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

• 8+ years of experience leading complex, organizational-level technical programs in a software development or R&D environment.
• Deep understanding of the AI model development lifecycle, including pre-training, post-training, and infrastructure constraints, especially in agentic development.
• Proven ability to manage engineering backlogs, navigate technical ambiguity, and drive execution on high-priority research strikes.
• Exceptional stakeholder management skills with the ability to build consensus across a matrixed enterprise.
• Thrive in fast pace, high velocity environnment, quick to pivot and adapt to new directions
• Strong communicator, data driven and precise. 

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 

Executive Business Partner Program Manager's play a key role in the delivery and management of a mission-focussed and effective E/ABP program. Day-to-day, you will partner closely with E/ABPs across the community, providing them with coaching and guidance to optimise their impact, as well as fostering strong relationships with a diverse, complex, and senior stakeholder group, ensuring that the community excels and adapts to evolving business needs. 

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:

• Partner with the E/ABP Lead and other Executive Business Partner Program Manager's to lead, develop and nurture the global GDM E/ABP community.
• Collaborate with senior stakeholders to manage the E/ABP community’s capacity and determine leadership partnering bundles by objectively assessing leadership support requirements and providing the information required to make informed decisions in line with the E/ABP program objectives.
• Manage a team of E/ABPs by setting expectations for each of your reports aligned to their role, level, and organisational goals. Provide regular feedback and coaching, invest in their development, assess their performance and regularly meet with the leader(s) they partner with for feedback. Recognize achievements and hold team members accountable against expectations.
• Ensure appropriate metrics, roles, and people are in place to meet organisational goals. Make prioritisation decisions, equitably allocate work, and manage resources to deliver business impact for GDM.
• Manage through change to deliver results by demonstrating good judgement, making and communicating adjustments and removing obstacles to ensure goals can be met during times of change. Encourage innovation and thoughtful risk taking to deliver business impact for GDM. Balance short term needs with longer term business goals and the E/ABP program strategy
• Take ownership of the E/ABP hiring strategy, planning and execution in partnership with our Talent Acquisition team to make equitable hiring and talent decisions across the team to meet current and future business needs.
• Ensure that community norms create belonging, psychological safety, and respect. Facilitate collaboration and open communication to help teams achieve results together.
• Encourage wellbeing by checking in with each E/ABP you manage and provide appropriate resources to support wellbeing as needed. Set the team up for sustained high performance by actively reprioritizing or redistributing work as demands on the community change.
• Role model and make decisions and support activities that align to GDM’s values, policies and practices. Encourage community  members to positively contribute to GDM and recognize them for doing so. 

About you

In order to set you up for success as a Executive Business Partner Program Manager at Google DeepMind,  we look for the following skills and experience:

• Team Management experience: an understanding of and continued investment in growing the skills and capabilities required to lead work, develop people, and build community.
• Ability to build trusting, collaborative relationships and rapport across all stakeholders groups and business areas. You confidently share your expertise and opinions and influence Leaders, reports and collaborators to make informed decisions.
• A resilient nature, you remain calm, implementing changes as required, seeking understanding and learning from any setbacks.
• You identify and take ownership for developing solutions to problems independently and improve ways of working, tools or processes.

In addition, the following would be an advantage: 

• Experience managing teams across offices and timezones
• Understanding of the E/ABP role and/or experience developing individuals within a supportive function
• Experience working closely with senior stakeholders to deliver against business needs

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 looking for an experienced Senior Manager to join our Society, Safety & Responsibility Communications team on a fixed-term contract (parental leave cover) spanning May 2026 to June 2027

About Us

At Google DeepMind we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build powerful 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.

The Role

In this role, you will sit at the critical intersection of technology, media, and public policy. Your job is to translate our technical breakthroughs, national partnerships, policy positions and corporate initiatives into clear, compelling narratives that drive trust in Google DeepMind amongst key opinion formers.

Key responsibilities: 

Strategic Narrative & Advocacy

• Develop and execute proactive communications strategies that advance Google DeepMind’s corporate reputation and policy goals.
• Translate complex technical concepts into accessible language for policymakers, civic society, academics and industry experts.
• Lead communication campaigns that help ready governments and key opinion formers around the world for AI and AGI advancements, as well as highlight how our technologies are being used for public benefit in areas including science, education, safety and security.

Media Relations & Stakeholder Engagement

• Build and maintain deep relationships with top-tier policy and tech journalists primarily in the UK and US.
• Collaborate closely with Google Communications teams around the world, sharing plans and consulting with central / local comms teams  to develop media engagement plans that serve Google and GDM’s objectives. Ensure a unified voice on global AI policy matters.  
• Act as a trusted advisor to senior executives and policy specialists, prepare them for high-stakes interviews across broadcast and digital, speaking opportunities including high profile industry events, as well as government testimonies.
• Manage reactive communications and crisis response for sensitive policy issues, working quickly to correct misinformation and articulate the company’s principles.

Cross-Functional Collaboration

• Partner closely with the Public Policy, Public Engagement, Education, Legal, Safety & Responsibility and Executive Communications teams to align external messaging with internal priorities, progress and corporate strategy.
• Collaborate with Google GCPA teams.
• Draft high-quality written materials, including op-eds, blog posts, press releases, briefing documents and social media material.

About You

In order to set you up for success at Google DeepMind,  we look for the following skills and experience:

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8+ years of experience in corporate communications, public affairs, or media relations, with a specific focus on AI, broader technology policy, or regulated industries.
• Proven track record of managing high-profile media relations and crisis communications in a fast-paced environment.
• Demonstrable experience translating dense technical or regulatory information into clear, persuasive narratives.

Preferred Qualifications

• Experience working in-house at a leading technology company, AI research lab, or within a government/regulatory body.
• Deep understanding of the current global AI policy landscape (e.g., EU AI Act, AI Safety Summit Series, US Executive Orders).
• Existing network of relationships with key policy and tech reporters in London, and/or Washington D.C. 
• Passion for the scientific mission of Google DeepMind and a nuanced understanding of the tension between innovation and safety.

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

The People & Culture (P&C) Experience & Delivery Partner team provides responsive day to day P&C support and generalist advice, operating as trusted advisors for Google DeepMind’s (GDM) Leaders and Managers. Working in close partnership with GDM P&C Partners, they build leadership and manager capabilities, deliver operational excellence, and gather and analyse employee experience insights to support the P&C needs of the organisation and drive high performance across GDM. Our team collaborates closely with other stakeholders across the GDM, Google, and Alphabet People & Culture teams, including GDM P&C Partners, to deliver a world-class employee experience. 

We support the learning and development of each member of our team and provide both training and practical experience to support the cultivation of generalist expertise. This is an exciting and varied generalist role

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

This role is embedded in our People and Culture (P&C) team, and reports to a  People Experience & Delivery Lead based in London, UK. The role works in close partnership with the P&C Partnering team and Centres of Excellence.. 

Dynamic Coaching & Advisory

• Provide dynamic and responsive coaching and advice for Leaders and Managers on policies, processes, and best practices related to key P&C topics including performance management, development, employee lifecycle processes, policy exceptions.
• Provide advice and guidance to Leaders and Managers dealing with specific challenges within their teams e.g. a retention or wellbeing issue, or interpersonal team conflict.
• Contribute to the development and delivery of scalable solutions to build Manager capability.

Operational Excellence

• Execute and deliver P&C initiatives, projects and cyclical processes, advising and collaborating with cross-functional teams.
• Partner with P&C Partners to deliver Unit specific organisational efforts including reorgs, large scale performance management efforts and strategic initiatives that align with a Unit’s P&C Strategy.
• Independently manage employee lifecycle processes e.g. Exits and Flexible working
• Identify the need for, and take responsibility for driving,  process improvement initiatives, such as streamlining query management, improving processes and conducting root-cause-analysis on and resolving recurring issues.
• Explore and leverage AI tools to enhance collaboration, streamline processes, and amplify your impact on GDM's mission and operational excellence.

Employee Experience Insights

• Conduct analysis on relevant data, share themes and insights from analysis, and use the data to make recommendations and inform decisions.

About You

In order to set you up for success as a People Experience & Delivery Partner at Google DeepMind,  we look for the following skills and experience:

• Subject matter expertise: You have a solid understanding of HR principles, policies, and best practices in areas such as performance management, compensation planning and change management. 
• Communication: You have strong written and verbal communication skills and are able to express thoughts and ideas clearly as you facilitate understanding. You comfortably demonstrate active listening and emotional intelligence.
• Interpersonal skills: You build strong relationships with employees and managers at all levels and are experienced in conflict resolution.
• Critical thinking & problem-solving: You are proficient in data analysis and thematic reporting. You are able to analyse information, identify issues, and provide effective solutions.

In addition, the following would be an advantage: 

• Experience in working with global teams and navigating cultural differences.
• Experience in designing and delivering training programs, and process design.
• Experience in using data to drive HR decisions.
• Knowledge of HR trends and best practices.
• A degree or professional certification in Human Resources Management or a related field.

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 a trailblazing Global Event Programs Lead on a fixed term contract  to develop and deliver pioneering events and experiences for one of the most innovative organisations of our time. This isn't just about event management; it’s about harnessing strategic creativity to lead a high performing team in an era where AI is redefining what’s possible.

You will design the physical touchpoints and experiences that bring our technology to life, build trust in our mission, and foster the deep, interdisciplinary collaboration required to "solve intelligence."

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. We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities to extensive manager support, we strive to support our people and their needs as effectively as possible.

The Role 

As the Global Event Programs Lead, you will report directly to the Director of Global Events and Experiences, partner closely with the Event Operations Lead, and lead a team of 8 dedicated event managers. This role is global covering Americas, EMEA and APAC. 

• Internal Impact: You will curate experiences for 5,500+ of the world’s leading minds. From high-stakes hackathons to cross-disciplinary summits, your work ensures that we maximise our impact across Google DeepMind and Google, keeping our culture as innovative as our research.
• External Frontier: You will build events that engage the global scientific, education, health, and business communities, as well as government bodies and the public. As we enter uncharted territory, you will create unique, high-trust experiences that demonstrate how AI can be a force for widespread public benefit.

Key Responsibilities

• Design a global events portfolio that mirrors GDM’s position on the frontier of science and technology.
• Cultivate trusted relationships with senior internal stakeholders, providing expert partnership and thought leadership to teams across Google DeepMind and Google.
• Ensure flawless delivery by employing best-in-class event project management and operational rigor.
• Drive impact by constantly iterating and innovating event formats at pace to increase engagement.
• Maintain curiosity in the AI landscape and events industry, using global insights to inform our engagement strategy.
• Lead and develop a team of 8 event managers based in London, UK and Mountain View, California.
• Deputise for the Director of Global Events & Experiences when required.
• Agency/Vendor management, budget management, and compliance with health, safety, and security governance.

About You 

You are motivated by the opportunity to work for a mission-driven organisation where events are integral. In this role, you aren’t following a playbook—you’re writing it!

To set you up for success, we are looking for:

• Senior-level experience leading complex internal and external event programmes, ideally within a high-growth technology or scientific environment.
• AI Fluency: A deep curiosity for the AI landscape and a track record of using emerging technology to enhance human connection.
• The ability to "join the dots" across a complex global organisation, moving beyond execution to design holistic strategies that maximise impact.
•  A proven mentor who can inspire a team of 8 across different time zones, fostering a culture of excellence and bold experimentation.
• A creative mindset with the ability to take nascent, complex scientific concepts and translate them into world-class tangible experiences.
• A confident and influential communicator who builds trusted partnerships with senior leadership, stakeholders and partners.
• Resilience & Agility: The ability to lead through ambiguity and change,  in a fast-paced, high-stakes environment.
• Exceptional project and budget management skills 
• A collaborative, inclusive approach 
• Flexibility to travel internationally.

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

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're looking for talented Research Scientists to push forward fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Reinforcement Learning team.

About Us

DeepMind’s RL team is a long-standing and tight-knit team of collaborative scientists and engineers, led by Tom Schaul. We tackle large scale research challenges in reinforcement learning. We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact. Over the past decade, members of the RL team have been instrumental in building DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof and Gemini. Join us to build the next big thing!

The Role

As a Research Scientist, you'll use machine learning knowledge and technical know-how to innovate, drive research projects, as well as apply research to impactful problems. You will be expected to implement code, run experiments, own results end-to-end, communicate them internally or externally, as well as collaborate with and empower others.

Your work may involve:

• Initiating or pursuing novel research directions, by proposing and testing research hypotheses.
• Implementing algorithm ideas and run end-to-end experiments, including setup, execution, analysis, and iteration.
• Sharing your skills and knowledge with other researchers.
• Building or improving infrastructure for research at scale.
• Designing evaluations and ablations that answer real questions and change minds.
• Analyzing results carefully, including debugging and failure analysis.
• Communicating clearly through plots, writeups, and paper-ready narratives and figures.
• Contributing to a culture of first-principles thinking, high standards, and direct, constructive feedback.

Our projects span the full range of state-of-the-art machine learning and AI fields, including large language models, distributed machine learning techniques, and much more, but with an emphasis on reinforcement learning.

We take a holistic view of people's backgrounds, and do not expect you to be an expert in all areas. We do expect you to proactively and quickly adopt new technologies and systems, but we also invest a lot of time in training and helping people to continually learn as part of their role.

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 passion for reinforcement learning
• A research track record in RL, including peer-reviewed publications.
• Strong implementation ability and comfort working in research codebases.
• Evidence of owning experiments end-to-end, including analysis and interpretation.
• Strong communication skills and a bias toward clarity and honesty regarding results.
• High agency and drive: You push projects forward, prioritize effectively, and take initiative.
• PhD in ML preferred, or equivalent practical experience.

In addition, the following would be an advantage:

• Experience with RL for sequence models, post-training, preference-based learning, or agentic systems.
• Experience with modern research stacks (e.g., JAX/Flax or PyTorch) and scaling experiments.
• Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.
• Comfort with scaling, evaluation methodologies, and diagnosing complex failure modes.
• A focus on craft: You care about doing excellent work while maintaining a high velocity.

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’re looking for engineers and scientists to help accelerate our research in Artificial Intelligence as part of our mission to create the next generation of Generative AI technologies. Our team has a unique mandate: to work on speculative, longer-horizon research projects that, if successful, yield step-change improvements in the capabilities of our frontier models. We target paradigm-shifting ideas and are prepared to invest the time and resources necessary to achieve them. Our goal is to ideate, research, develop, validate, and integrate these improvements into major Google technologies.

Our primary research focus is Gemini Diffusion, our state-of-the-art text diffusion model. We believe that text diffusion has the potential to unlock a new paradigm in generative AI, offering unprecedented capabilities and lightning-fast latency. With strong backing from GDM leadership, our team is dedicated to thoroughly exploring and advancing this technology.

Our team is a multi-disciplinary group of engineers and scientists that work in close collaboration, leveraging our unique skills with a strong focus on building and shipping ground-breaking AI. We are a problem-focused team, meaning we are interested in any tool or idea that can solve a concrete problem, rather than being tied to a particular set of tools.

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 are looking for a Research Scientist to join our team in London and help us accelerate our mission. As a Research Scientist, you will apply your deep scientific knowledge and research skills to advance paradigm-shifting research at a large scale. You will be at the heart of our efforts to deliver step-changes in the capabilities of our frontier models, with a significant focus on our Gemini Diffusion project. You will work in a tight-knit and highly collaborative team environment that fosters fundamental research and technical innovation, giving you hands-on experience with improving state-of-the-art AI systems. As a team member, your work may involve:

• Brainstorming new disruptive ideas that could become the next generation of frontier AI models, particularly within the text diffusion space.
• Prototyping and developing these ideas with the rest of the team, contributing directly to Gemini Diffusion research.
• Solving key research challenges by designing and executing experimental research on text diffusion models, sharing analyses, and proposing next steps.
• Rigorously validating the theoretical and practical impact of our work at a large scale.
• Working collaboratively with other Generative AI teams to move the technologies we develop out of the lab and into production.
• Advancing the fundamental architecture, algorithmic design, and capabilities of large-scale diffusion models.
• Bringing deep scientific expertise into our projects. You will share your insights and knowledge with other researchers and engineers. We take scientific rigor seriously, and you will be a steward of that ethos.

About you

We take a holistic view of people's backgrounds and do not expect you to be an expert in all areas. We invest heavily in training and development, and continual learning is a key part of the role. In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• Advanced degree in computer science, electrical engineering, science, mathematics, or equivalent experience.
• Academic research experience in machine learning, publications, or research experience in related fields.
• Experience with some or all LLMs, Transformers, Diffusion models, Text diffusion, Large-scale distributed training.
• Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding, etc.).
• Programming experience, particularly with Python-based scientific libraries such as Numpy, Scipy, JAX, PyTorch, or TensorFlow.
• Deep familiarity with the machine learning, mathematics, and statistics needed to follow relevant research papers (linear algebra, calculus, etc.) and reason about cutting-edge innovations.
• Agile and solution-focused mindset - be prepared to work on anything!

We're also interested in any of:

• A track record of building software, either in open source or as part of a company product or research papers.
• Large-scale system design, distributed systems.
• Distributed computation for ML, especially in the context of accelerators (e.g., sharding, multi-host computation).
• C++ or broader programming experience.
• Data engineering and visualisation.

Snapshot

DeepMind has a remarkable track record of scientific breakthroughs. Such extraordinary work is a direct result of the brilliant and diverse group of people we bring together. Our Operations team work together to maintain, optimise, and nurture our culture to create the best environment in the world for advancing AI research. A place where everyone’s expertise is recognised and where everyone is continually learning and supported to be the best leaders, managers, and collaborators they can be.

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

GDM’s People & Culture (P&C) team is on a mission to empower our people to do their best work. The Talent Management (**not Talent Acquisition) team sits within the P&C organization and is responsible for helping leaders, managers and P&C understand our talent and make intentional decisions based on that understanding. Collaborating with other P&C teams, as well as business leaders and managers across the organisation, we execute on a critical component of P&C Strategy that develops the culture and environment that enables the advancement of AI research.

Our team's approach is data-driven, integrated with business goals, agile in response to market changes, and empowering for our leaders. We leverage performance and talent data to drive strategic talent decisions, invest in critical areas, and enable a resilient and elite-performing GDM. 

We are looking for someone who can help our team turbo-charge their efforts by applying a process improvement lens, particularly focused on improving our data analysis capabilities. Our organization continues to grow quickly and we need your help in scaling our efforts!

Key responsibilities

• Analyse and manipulate data to develop executive-ready insights, dashboards, and narratives to support leadership decision-making. Translate data into actionable business outcomes.
• Create templates, processes and frameworks that can be leveraged by the team in the future. 
• Proactively identify opportunities and recommend solutions to optimise our existing process operations, with a focus on efficiency and impact, leveraging AI resources and other available technologies. 
• Lead initiatives aimed at improving scalability, efficiency, and team outcomes.
• Work collaboratively across the broader People & Culture team, particularly the P&C Analytics team. Our work requires a close partnership with the Analytics team and you’ll be our liaison to them.
• Quickly gain an in-depth understanding of our Talent Operations so you can anticipate problems and identify solutions, using your judgement and discretion to determine and plan the next steps of your work.
• Support ad-hoc strategic projects and business deep dives as priorities evolve.
• Success requires strong analytical skills, structured thinking, and the ability to balance strategic priorities with hands-on execution in a fast-paced environment.

About you

In order to set you up for success as a Talent Management Operations Partner at Google DeepMind, we look for the following skills and experience:

• Education: Bachelor's degree or equivalent practical experience.
• Experience: 5+ years of experience in business operations, analytics, strategy, consulting, or a related role.
• Technical Proficiency: Advanced proficiency in Google Sheets, proficiency in SQL, with a track record of building automations or workflow scripts (e.g., Apps Script, VBA, or JavaScript-based automation tools) to bridge data gaps.
• Data Storytelling: Exceptional ability to translate complex findings into clear, actionable narratives for stakeholders.
• AI Fluency: Curiosity and ability to use AI tools practically and responsibly to improve analytical velocity and accuracy.
• People & Talent Focus: Experience with HR/People Analytics, including working with sensitive and confidential data.
• Bias for action: Ability to self-start and self-direct work in an unstructured, fast-paced, challenging environment.

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

This is a critical strategic role situated at the intersection of infrastructure, finance, and AI strategy within Google DeepMind’s Technology Strategy function. You will join the Technical Intelligence (TI) team with a dual mission: to analyse the "supply side" of the AI revolution (infrastructure and cloud economics) and to provide decisive competitive advantages by monitoring the external Large Model (LM) landscape. Your insights will directly inform Google’s strategic planning, investment decisions, and technical roadmaps, ensuring we anticipate market moves rather than react to them.

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

You will serve as a vital intelligence node for the external AI ecosystem, acting as the expert on both the AI infrastructure market and competitor activity. You will analyse how compute power is being financed, built, and priced, while simultaneously synthesising public planning records and industry reports to track the strategies of key industry players. You will partner closely with Google Cloud (IaaS and Vertex), the Gemini App team, Gemini Research, Google Infrastructure, and Corporate Finance.

Key responsibilities

• Market Strategy & Ecosystem Analysis: Deeply analyse the strategies and roadmaps of key industry players, including major AI labs, Hyperscalers, and specialised NeoClouds. Identify forthcoming technical releases, strategic partnerships, and shifts in model architecture.
• Infrastructure & Resource Intelligence: Track external resource commitments, including data center footprint expansions, compute cluster acquisitions, and supply chain bottlenecks (e.g., gigawatt-scale projects, chip supply). Estimate future training capabilities across the industry.
• Financial Modeling & Economics: Build financial models for AI competitor pricing structures, burn rates, and unit economics for AI workloads. Analyse financing strategies for GPU/TPU acquisition and assess the sustainability of competitor strategies.
• Strategic Reporting: Develop detailed quarterly reports and ad-hoc memos on the state of the global AI compute market and competitive landscape. Translate complex technical, business, and supply chain signals into clear narratives for executive leadership.
• Investment & Partnership Support: Provide data-driven diligence and recommendations to support decisions regarding M&A targets, external compute partnerships, and strategic infrastructure investments.

About you

In order to set you up for success at Google DeepMind, we look for the following skills and experience:

• Bachelor's degree in a quantitative or technical field (e.g., Finance, Economics, Engineering, Computer Science, Physics) or equivalent practical experience.
• 3+ years of experience in technical / go-to-market product management, equity research, strategic consulting, or competitive intelligence within the technology sector.
• Experience in financial modeling and analysis, with the ability to estimate costs and unit economics of technical projects.
• Demonstrated ability to synthesise disparate data sources (technical papers, financial reports, news and proprietary data sources) into coherent strategic insights.
• Strong understanding of the Generative AI landscape, including familiarity with Large Language Models (LLMs) and the key industry players.

In addition, the following would be an advantage: 

• CFA, or Master's degree in a relevant field.
• Solid understanding of the AI hardware ecosystem (GPUs, TPUs, ASICs, data centers) and / or the Generative AI landscape (LLMs, key players).
• Direct experience working for a major AI Cloud provider or for an AI lab in a hardware strategy role on: AI cloud economics, AI infrastructure strategy, investment banking covering hardware/semiconductors, or technical product management in AI cloud computing.
• Direct experience working for an AI lab in a go-to-market role with solid understanding of competitive positioning, market trends and pricing considerations.
• Familiarity with the semiconductor supply chain (major chip designers and foundries) and its impact on cloud capacity.
• Excellent written and verbal communication skills, with experience presenting high-stakes analysis to senior executives.

We encourage applications from candidates with diverse backgrounds and experiences. If you have a strong analytical aptitude, a passion for understanding complex systems, and the ability to develop well-reasoned insights, even if your background doesn't perfectly align with the "traditional" qualifications, we encourage you to apply.

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.

Application deadline: 12pm GMT Thursday 30th March 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.