Research Scientist, Robotics

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, 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.

We are looking for research scientists to join the Robotics Team. Our team investigates the fundamental principles and applications of embodied AI. Our goal is to create intelligent robots that can perceive, reason about and act in the real world, in order to help humans and benefit society. We are equally excited about deeply understanding the underlying algorithmic principles and model architectures as we are about deploying our technology at scale in real world problems.

Research Scientists lead our efforts in developing novel algorithms and models for embodied AI and Artificial General Intelligence. We are looking for creative thinkers with strong algorithm-design and programming skills that want to build the next generation of AI agents for and grounded in the physical world. Research Scientists work in collaborative teams to invent algorithms and innovate on large foundation models such as Gemini Robotics.

They design prototype applications and work with real robots inside and outside the lab to tackle real-world use cases. A strong algorithmic background in scalable machine learning (e.g. reinforcement learning / imitation learning; multimodal foundation models) and experience with real robots / robot simulation and large-scale training setups are valued.

• Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities.
• Write software to implement research ideas and iterate quickly.
• Leverage your expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more.
• Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals.
• Generate creative ideas, set up experiments and test hypotheses. Report and present research findings clearly and efficiently both internally and externally.

In order to set you up for success as a Research Scientist at Google Deep Mind, we look for the following skills and experience:

• PhD in a technical field or equivalent practical experience.
• A strong algorithmic background with deep knowledge of areas such as
• reinforcement learning and imitation learning
• multimodal generative modeling, training and inference.
• large vision / vision-language / video and other multimodal models

In addition, the following would be an advantage:

• Experience working with simulators and real-world robots, esp. dexterous manipulation including multi-fingered hands and / or whole body control, as well as multimodal sensing (e.g. tactile)
• Experience implementing large-scale systems and working with large real world data
• A passion for bringing research from the lab to real-world robotic systems.

At Google Deep Mind, 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.

Google Deep Mind is committed to equal opportunity employment regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law. A voluntary self-identification question enables us to monitor and evaluate the effectiveness of our equal opportunities policy within our recruitment process.

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