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Research Scientist, Safety and Alignment for Humanoid Robotics

Google DeepMind New York City, New York, US Full-time Frontier AI Posted Mar 5, 2026
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What it’s like to work at Google DeepMind

AI Research Lab · London, UK

4.2
Employee Rating
4
Work-Life Balance
70
Open Roles
deep-worklearningeng-drivendiverseethical-aiequityflex-hours

What employees love

  • World-class AI research environment with brilliant, collaborative colleagues
  • Google-level compensation and benefits with genuine work-life balance

What could be better

  • Google-scale bureaucracy — slow decision-making compared to startups
  • Large org means less individual ownership and impact on direction
View full Google DeepMind culture profile →

About the Role

Snapshot

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.

About Us

We are looking for Research Scientists to join the Robotics team whose mission is to “Build embodied AI responsibly to benefit people in the physical world. This role is focused on ensuring safe humanoid robot actions spanning agentic reasoning, HRI scenarios, and physical safety with VLA models.

The Role

Research Scientists work on a diverse and stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab tackling real world use cases. Research Scientists work in large collaborative teams to make cutting edge breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a diverse multi-functional team that builds the future of robotics.

Key responsibilities:

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:

In addition, expertise with a subset of the following would be an advantage:

The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

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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Frequently Asked Questions

What is the work-life balance like at Google DeepMind?
Google DeepMind has a work-life balance score of 4/5 based on employee reviews. This is above average, suggesting the company genuinely respects work-life boundaries.
What is Google DeepMind’s culture like?
Google DeepMind is characterized by these culture values: deep-work, learning, eng-driven, diverse, ethical-ai, equity, flex-hours. Based on employee reviews, the company has an overall rating of 4.2/5. World-class AI research environment with brilliant, collaborative colleagues
How many open roles does Google DeepMind have?
Google DeepMind currently has 70 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in New York City, New York, US. Check the job description above for specific location and remote work details.
Apply for this role at Google DeepMind →