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AI Research Scientist, Robotics

Meta· Artificial Intelligence
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Redmond, WA, Multiple locations$154k - $217kFull-timePosted 7mo ago

About the role

Research scientist role focused on system design, modeling, and prototyping to advance embodied AI in robotics. Works within a focused incubation team and collaborates broadly across scientists and engineers to design, develop, and construct novel prototypes and architectures.

Responsibilities

  • Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  • Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies
  • Define, build and benchmark new functionalities needed for the next generation of AI
  • Conduct research towards long-term product goals while identifying intermediate milestones
  • Plan and execute novel research based on long-term objectives of the organization

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
  • Experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI

Skills

Required:Fundamental and applied researchData-driven paradigms for roboticsEmbodied AI and sim-to-realMachine learning / neural networks

Benefits

  • bonus
  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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