Research Scientist, Robotics

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.

Key responsibilities:

• 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.

• 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

• 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.