AI Research Scientist, Robotics

Skip to main content AI Research Scientist, Robotics Meta United States Apply Join or sign in to find your next job Join to apply for the AI Research Scientist, Robotics role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. AI Research Scientist, Robotics Meta United States 1 week ago 123 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the AI Research Scientist, Robotics role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $184,000.00/yr - $257,000.00/yr This is a unique opportunity to join a full-stack robotics R&D group where your work will influence materials, sensors, actuators, low-level control, and foundation models for robot learning. The ideal Research Scientist candidate will leverage their practical expertise in robot foundation models, tactile sensing, multimodal learning, and robotics systems to innovate on full-stack systems. This role requires a systems-oriented researcher who can drive technical direction, define strategy for scaling tactile data, and influence how foundation models are built for robotics. You will work in an applied research team and collaborate with robotics researchers, ML engineers, and a wide range of scientists across the organization.AI Research Scientist, Robotics Responsibilities:Drive technical direction for leveraging, adapting, and fine-tuning VLAs or other robotic foundation models within the teamDefine and execute our scaled tactile/multimodal data strategy, including collection, processing, and integration pipelinesDevelop strategies for training and fine-tuning foundation models to effectively leverage tactile sensing data alongside vision, language, and other modalitiesPlan and execute research aligned with long-term organizational objectives while identifying actionable intermediate milestonesMentor other researchers and help grow the team's expertiseRepresent the team externally through publications, conference presentations, and partnershipsMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePhD degree in Artificial...