Research Scientist, Robotics, DeepMind

Qualifications

• PhD degree in a technical field or equivalent practical experience.
• 2 years of experience with reinforcement and imitation learning, multimodal generative modeling, training and inference, and vision/vision-language/video multimodal models.

• Experience working with simulators and real-world robots, especially dexterous manipulation, as well as multimodal sensing (e.g., tactile, forces)
• Experience implementing systems and working with large real world data.
• Experience with capture methodologies, dataset design, experimentation, and incorporation of captured human action data into vision-language-actions (VLAs) or whole-arm manipulators (WAMs).
• Passion for bringing research from the lab to real-world robotic systems.

• 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.
• Work effectively with a large collaborative team with changing agendas to meet ambitious research goals.
• Develop methodologies and design and conduct experiments for incorporating scalable data sources, especially human data with or without capture devices into our robotics foundation models.
• Leverage your broader 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.

As a Research Scientist you will develop new and improved products, processes, or technologies by creating experiments, prototyping implementations, and designing new architectures. You will work with large foundation models such as Gemini Robotics and collaborate on real robots inside and outside the lab to manage real-world use cases.

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