Careers

Build AI responsibly to benefit humanity

Work at the frontier of AI
Roles
Locations
Interview process

Work at the frontier of AI

We’re searching for people who share our drive to build the next generation of breakthrough AI systems, safely and responsibly.

Accelerate science, drive transformation across entire industries – and develop AI products with the potential to improve lives around the globe.

Help create the technology that will shape the world. Join us – and do the best work of your career.

Use AI to solve humanity’s biggest challenges

Your work could positively impact billions of lives.

So far, our AI models have helped scientists understand how life’s molecules interact. Advanced research into treatments for deadly diseases, like malaria. Discovered new candidate materials for batteries and solar cells. And even helped us generate more accurate weather forecasts – crucial in a world of increasing extremes.

Help us discover what comes next.

Work on state-of-the-art models

Help unlock a new era of intelligence.

Create state-of-the-art generative AI models with global reach – and work on landmark products like Gemini, Veo, and Gemini's image generator “Nano Banana”. Stay at the forefront of AI development, and invent entirely new product experiences.

Work with us towards our goal of making AI useful for everyone.

Collaborate with leading talent

To develop extraordinary technology, we rely on an extraordinary team.

Work alongside best-in-class engineers, leading ethicists – and even Nobel Prize-winning scientists. Team up with leading partners building nuclear fusion reactors, gravitational wave detectors, genome databases – and more. All with the support of leaders who have dedicated their careers to pioneering AI research.

Find endless opportunities to learn, and develop your skills as a leading mind among leading minds.

Create breakthrough AI for global impact

We’re the engine room for pioneering AI innovation at Google.

Our groundbreaking research underpins our cutting-edge models, which are trained on Google’s state-of-the-art infrastructure – which, in turn, is built on chips that we design. And our models are deployed via the same global infrastructure, to rapidly reach billions of users.

Our unique full-stack approach allows us to push further in every aspect of our work. Step in, and help us shape the next wave of transformation.

We have a real opportunity to deliver AI research and products that dramatically improve the lives of billions of people, transform industries and advance science.

Demis Hassabis

CEO, Google DeepMind

Roles

Research Engineers are software engineers with a deep understanding of machine learning and deep learning, bringing a combination of engineering, mathematical, and research skills to advance GDM’s mission. They are experimentalists, acting as critical bridge between theory and implementation – designing, building, and scaling complex systems to test and evaluate new ideas. That often leads to co-authorship on leading research papers.

Key responsibilities include implementing and optimizing frontier models. Building robust infrastructure for distributed computing. And applying expertise across specialized domains, like Gemini or robotics.

Researchers focus on what AI can do. Software engineers make it happen, by scoping, developing, maintaining, and upgrading our software. Their passion for machine learning helps them turn technical solutions into engineering challenges. They define software roadmaps and architecture – and solve long-term problems from end to end.

Software engineers understand the research environment and use it to inform engineering focus.Key responsibilities include developing reliable and efficient software, built for scale. And sharing deep software engineering expertise across the business.

Product Managers set out roadmaps for our AI products, and drive them from concept to implementation – in Google and Google DeepMind applications. They support cross-functional teams of researchers and engineers to launch AI models and platforms that meet user needs. And they translate complex AI technical capabilities into actionable product specifications.

Key responsibilities include planning and guiding product development through to deployment, alongside balancing business success with societal responsibilities.

Our large-scale, strategic, cross-functional initiatives rely on Program Managers. This group is responsible for end-to-end program design, managing complex dependencies and handling risks. They also make sure we maintain operational excellence, while meeting (or exceeding) our strategic goals.

Key responsibilities include translating strategic ambitions into clear objectives and actionable plans. While aligning stakeholders and communication across the organization.

Technical Program Managers are embedded within specific research and engineering units. They use deep technical understanding to manage programs’ entire lifecycles – from early research to production launch and beyond. That means co-developing program strategies, influencing key engineering decisions, and accelerating breakthroughs.

Key responsibilities include performing technical due-diligence. Evaluating complex and technical proposals. And translating complex concepts for diverse audiences across the organization.

Research Scientists are creative and collaborative, bringing scientific expertise to advance GDM’s mission. They hold deep theoretical knowledge and an interdisciplinary mindset. Think of them the engine of innovation as we work towards our mission to “solve intelligence”.

Driven to push the boundaries of AI, they formulate novel hypotheses and algorithmic paradigms that spark world-changing breakthroughs. They normally hold a PhD, may plan and execute both large- and small-scale research projects, and frequently contribute to foundational research papers.

Key responsibilities include identifying core research questions, designing and evaluating novel models, and pioneering new approaches in specialized domains like Gemini.

Our Operations team are multi-disciplinary experts, with a focus on creating and maintaining world-class spaces, infrastructure, and systems – so that our groundbreaking research, programs, and product development can happen.

Key responsibilities include leading our internal and external engagement strategies, hiring the world’s brightest minds, and fostering a collaborative culture.

Our Responsibility team makes sure we build AI models boldly – yet thoughtfully. They partner with internal teams, and the wider AI community, to embed ethics into our work and rigorously test our systems. They also address the societal impacts of our technology to guide our path forward.

The team consists of experts from areas including CBRN, assurance evaluations, and AI governance. Key responsibilities span policy, research, and engineering – giving us insight from many angles, to help us remain responsible.

London

Bay Area

Bangalore

Cambridge (US)

Montreal

New York City

Paris

Tokyo

Toronto

Zurich

Locations

We’re looking for people from all backgrounds, across the world, who want to collaborate to build AI responsibly. Together, we’ll work to benefit humanity and make a real, positive impact. Our intentional location strategy is designed to create the right environments in the right locations to deliver that impact.

Our interview process

We’ve created a process that's as rigorous, fair, and transparent as possible. That way, we can both be sure Google DeepMind is the right next step for your career.

To help you know what to expect, we’ve mapped out a typical overview of our interview stages. The exact steps are slightly different for every role. So if you're invited to interview we'll send you detailed, role-specific information to help you prepare at every stage.

View interview guide

Initial interviews

A 30-minute introductory call with your Recruiter, to cover your background and experiences. They’ll tell you more about the role, and learn more about why you applied. You’ll have the chance to ask questions, then the Recruiter will outline the next stages of the process.

At this stage, we may also ask you to join an interview with the hiring manager for the role. They’ll ask more questions about specific capabilities, and help you build a better understanding of what their team does.

Skills interviews

Over two or three further calls, we’ll evaluate you against the competencies and skills required for success in the position. We’ll make sure you have a good understanding of what to expect and how to prepare.

You’ll meet potential peers during these conversations, and be able to ask more questions about working life at Google DeepMind.

Final interviews

During the final round, you’ll meet Team Leads and leadership – including your potential manager. We’ll still focus on core skills, but through the lens of team goals, future plans, and our culture, mission, and values.

Think of it as a mutual assessment. We’ll give you plenty of time to ask questions, so you can be confident we’re the right fit for you.

Decision and offer

The hiring team will review your application against our criteria. If you’re the best candidate for the role, your Recruiter will share the exciting news and talk you through our competitive compensation and benefits package.

They’ll then formally invite you to join Google DeepMind.

We value all perspectives and experiences

Our team members hold all sorts of experience, knowledge, and backgrounds. Their diversity is invaluable – and all their unique qualities and perspectives help us create extraordinary impact.

If you have a disability, need assistive technology, or other extra support during the interview process, please let us know. We’re happy to help. The information you share will only be used to make the process more accessible for you, in line with our Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

Student Researcher Program

Hands-on collaboration with leading minds in AI

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