Full-Time

Research Scientist, Safety and Alignment for Humanoid Robotics at Google DeepMind

Company Google DeepMind
Sector Technology
Posted Posted 1 days ago

Job Description

At Google DeepMind, we're a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. We're looking for Research Scientists to join the Robotics team whose mission is to 'Build embodied AI responsibly to benefit people in the physical world.'

Our team is focused on ensuring safe humanoid robot actions spanning agentic reasoning, HRI scenarios, and physical safety with VLA models. As a Research Scientist, you will design, implement, train, and evaluate large models and algorithms for humanoid robots. You will make breakthroughs and unlock new humanoid safety capabilities, including algorithmic and model development to improve a robot agent's understanding of its own embodiment and VLA capabilities.

You will write software to implement research ideas and iterate quickly. You will leverage your expertise to participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots, and more.

You will work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals. You will generate creative ideas, set up experiments, and test hypotheses. You will report and present research findings clearly and efficiently both internally and externally.

To be successful as a Research Scientist at Google DeepMind, we look for PhDs in technical fields or equivalent practical experience. You should have knowledge of the latest in large machine learning research and experience working with real-world robots. Expertise with a subset of the following topics would be an advantage: Humanoid Whole Body Control, Vision Language Action models, Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning, and Reinforcement Learning.

The US base salary range for this full-time position is between $141,000 – $202,000 + bonus + equity + benefits.

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