Research Scientist, Human Data, Robotics, DeepMind

Google LLC; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Google DeepMind in London seeks a Research Scientist to advance human-data-driven robotics and to develop scalable robotic foundation models. You will design and evaluate large multimodal models, run experiments, and collaborate with a broad team across AI disciplines to translate research into real-world robotics capabilities.

The role emphasizes incorporating human action data, working with simulators and real robots, and publishing findings with academic partners.

Qualifications

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

Responsibilities

• Design, implement, train and evaluate large models and algorithms for robotic agents, making breakthroughs and unlocking new robot capabilities.
• Write software to implement research ideas and iterate quickly, working effectively with a large collaborative team with fast-paced 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 broader 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.
• Report and present research findings clearly and efficiently both internally and externally.

Skills

Reinforcement learning

Imitation learning

Multimodal models

Vision-language

Generative modeling

Education

PhD in Computer Science or related field

Job description

Research Scientist, Human Data, Robotics, DeepMind

Research Scientist, Human Data, Robotics, DeepMind

DeepMind London, UK

• PhD in Computer Science, a related field, or equivalent practical experience.
  
• 2 years of experience with reinforcement learning and imitation learning.
• Experience with vision, vision-language, video, and other multimodal models.
• Experience with multimodal generative modeling, training and inference.

Preferred qualifications:

• Experience with capture methodologies, dataset design, experimentation, and incorporation of captured human action data into VLAs or WAMs.
• Experience working with simulators and real-world robots, esp. dexterous manipulation, as well as multimodal sensing (e.g. tactile, forces).
• A passion for bringing research from the lab to real-world robotic systems.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you’ll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you’ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

For this position, we are especially looking for individuals who have experience with incorporating human video action data and / or data captured with wearable devices (eg UMI, gloves) with other data sources to push the boundaries of dexterity and generalization for robotics foundation models. This includes the design and use of the capture devices, the datasets, as well as algorithmic and modeling approaches to leverage such data.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Design, implement, train and evaluate large models and algorithms for robotic agents, making breakthroughs and unlocking new robot capabilities.
• Write software to implement research ideas and iterate quickly, working effectively with a large collaborative team with fast-paced 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 broader 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.
• Report and present research findings clearly and efficiently both internally and externally.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.