Google DeepMind's interview process has four stages: initial interviews (a 30-minute call with a recruiter, sometimes followed by the hiring manager), skills interviews (two or three calls on the competencies the role needs, where you also meet potential peers), final interviews with team leads and leadership, and then a decision and offer. DeepMind's own candidate guide says the process takes 4 to 10 weeks depending on the role, most interviews are virtual, and AI tools are not allowed in live interviews or interview tasks unless you are told otherwise.
This guide is built on what DeepMind publishes on its careers page and in its Interviewing at Google DeepMind guide, read in October 2026. DeepMind says the exact steps differ slightly for every role, and it sends role-specific preparation material once you are invited to interview. Where this guide relies on candidate reports, it says so. For the wider UK context, see our job interview tips for the UK.
The Google DeepMind interview process at a glance
| Stage | What DeepMind says happens | How to prepare |
|---|---|---|
| Initial interviews | A 30-minute intro call with a recruiter about your background; you may also meet the hiring manager | A two-minute career summary, why DeepMind, and why this team |
| Skills interviews | Two or three further calls assessing the competencies and skills the role requires; you meet potential peers | The technical depth in the job description, practised out loud |
| Final interviews | Meetings with team leads and leadership, including your potential manager, on team goals, future plans, culture, mission and values; DeepMind calls it a mutual assessment | Your view of the team's work, questions about its plans, and STAR stories for values questions |
| Decision and offer | The hiring team reviews your application against its criteria; your recruiter discusses compensation and benefits | Know your priorities, notice period and relocation needs |
Before the first interview, a scheduling coordinator confirms your interviews and DeepMind sends a standard non-disclosure agreement to sign electronically, which it asks of all candidates and visitors. Video interviews run on Google Meet. You can also share your pronouns and record how to pronounce your name.
How does Google DeepMind assess your answers?
DeepMind is unusually open about this. Its guide says it takes a competency-based approach in many interviews, recommends the STAR method (Situation, Task, Action, Result), and assesses technical and non-technical candidates on clearly defined criteria so everyone is evaluated fairly and consistently. Its interview advice adds four points worth building your preparation around:
- Think out loud. DeepMind says it values curiosity and intellectual honesty. If you do not know an answer, say so, ask questions and share what you do know.
- Explain your reasoning. It is interested in how you approach challenges, so narrate your approach and explore alternatives rather than jumping to a final answer.
- Include data. Use numbers to show your impact and the context of your work.
- Know the mission. DeepMind's stated mission is to build AI responsibly to benefit humanity. Its guide asks you to think about how that mission resonates with you and to get hands-on with its products, such as the Gemini models in Google AI Studio.
If competency-based interviews are new to you, read our guide to what a competency-based interview is, then draft your examples with the STAR story builder.
How do you prepare for each Google DeepMind role?
DeepMind lists role families including research engineer, software engineer, research scientist (typically holding a PhD), product manager, programme manager, technical programme manager, operations and responsibility. The skills interviews follow the role, so prepare for the role you applied to:
- Research engineer and software engineer: candidates commonly report coding interviews alongside machine learning fundamentals, with weight on explaining reasoning. Practise data structures and algorithms in your strongest language, and revise optimisation, loss functions, regularisation and transformer basics. Our machine learning engineer interview questions and LLM interview questions cover the ground.
- Research scientist: expect to discuss your own research in depth: the question, why your method, what failed and what you would do next. Prepare a clear account of one or two papers you led.
- Product and programme roles: prepare to discuss AI products you have used, how you would measure success, and how you would work with researchers whose timelines are uncertain.
- Systems-heavy roles: large-scale training and serving come up in machine learning design discussions; our ML system design interview guide gives you a structure.
DeepMind's interview guide points candidates to Google's Interview Warmup tool for practice, but Google retired Interview Warmup in April 2026. Our roundup of Google Interview Warmup alternatives lists other ways to practise.
Can you use AI during a Google DeepMind interview?
No, unless DeepMind tells you otherwise. Its guide says you are free to use AI to help you prepare, but asks candidates not to use any AI tools during live interviews or during interview tasks. Treat that as the rule for every stage, including any take-home work.
Follow the rules of the employer or assessment you're in — many people use CoPilot Interview only to practise, which works on the free plan. Its Mock Interview builds questions from your CV and the job description, reads them aloud, and scores each spoken answer out of 10 with what worked, what to fix and a model answer, which suits DeepMind's emphasis on thinking out loud.
Practical details: timeline, office days, relocation and internships
- Timeline: 4 to 10 weeks depending on the role, and longer if interviewer availability is tight. DeepMind says that if you have not heard back within a few days it is usually still discussing your application; check with your recruiter after a week.
- Office days: most colleagues work in the office Tuesday to Thursday and from home on Monday and Friday.
- Relocation: if you live more than 100 km from the office, DeepMind connects you with a relocation consultant after an offer. If you would need a UK visa, our visa sponsorship interview questions guide explains how to raise it.
- Locations: the careers page lists London first, followed by the Bay Area, Bangalore, Cambridge (US), Montreal, New York City, Paris, Tokyo, Toronto and Zurich.
- Interviewing at Google too: the two processes are run by different teams; tell your DeepMind recruiter if you are interviewing with Google or another Alphabet company. For Google's own process, see our Google software engineer interview process and Google Dublin interview guides.
- Internships: DeepMind says all internships are managed by the Google recruiting team, not DeepMind, and you apply through Google's careers site.
- Referrals: a referrer must be able to vouch for your work, and DeepMind employees cannot refer people who contact them online without a direct connection.
Google DeepMind practice questions
These are practice questions we wrote around DeepMind's published approach. They are not questions reported from DeepMind interviews.
- Why Google DeepMind, and how does its mission connect to the work you want to do?
- Tell me about a time an experiment or project did not work. What did you learn and change?
- Explain a technical decision you made to someone with no machine learning background.
- Describe a time you were not sure of the answer. How did you work it out?
- How would you check whether a model's improvement on a benchmark is real?
- Tell me about a disagreement with a collaborator about research direction.
Example answer we wrote (to "Tell me about a time an experiment did not work"): "I spent three weeks training a smaller model to match a larger one on a translation task, and it plateaued well below target. Rather than tuning further, I went back to the data and found the training set over-represented short sentences, while the evaluation set did not. I rebalanced the data and the gap closed by more than half. I now check how well the training data matches the evaluation data before any long training run, and I wrote up the check for my team."
Practise thinking out loud for DeepMind
Paste the DeepMind job description and your CV into a free mock interview, answer aloud and get a score out of 10 on each answer with what to fix and a model answer. 15 free minutes a day, no account needed.
Try a free AI mock interviewFAQ
How long is the Google DeepMind interview process?
DeepMind's candidate guide says 4 to 10 weeks depending on the role, and possibly longer depending on interviewer availability. Your recruiter or scheduling coordinator can give you a timeline for your role.
How many interviews does Google DeepMind have?
DeepMind describes four stages: initial interviews (a 30-minute recruiter call and possibly the hiring manager), two or three skills interviews, final interviews with team leads and leadership, and a decision and offer. Exact steps differ by role.
Are Google DeepMind interviews in person?
Mostly not. DeepMind says that for fairness and consistency the majority of its interviews are virtual, run as video calls on Google Meet.
Can I use AI tools in a Google DeepMind interview?
No, unless you are told otherwise. DeepMind says you are free to use AI to prepare, but asks candidates not to use any AI tools during live interviews or interview tasks.
Is Google DeepMind's process the same as Google's?
No. DeepMind says the two interview processes are managed by different teams. If you are interviewing with Google or another Alphabet company at the same time, tell your DeepMind recruiter so they can advise on running both.
How do I apply for a Google DeepMind internship?
Through Google. DeepMind says all internships are managed by the Google recruiting team rather than by DeepMind, so you apply on Google's careers site.