Research Scientist, Robotics, DeepMind

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. 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.

• 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.

Qualifications Minimum 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.

Preferred qualifications:

• Experience working with simulators and real-world robots, esp. 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.