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Research Scientist Intern, Robotics - Meta Superintelligence Labs; PhD

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta Careers
Apprenticeship/Internship position
Listed on 2026-10-04
Job specializations:
  • Research/Development
    Robotics, AI Business & Operations, Research Scientist
Salary/Wage Range or Industry Benchmark: 35 - 50 USD Hourly USD 35.00 50.00 HOUR
Job Description & How to Apply Below
Position: Research Scientist Intern, Robotics - Meta Superintelligence Labs (PhD)
# Research Scientist Intern, Robotics
- Meta Superintelligence Labs (PhD)
Menlo Park, CA Research+ 4 more Apply nowAt Meta, we’re building the future of human connection and the technology that enables it. Meta is seeking a Robotics and Embodied AI Research Scientist Intern to join Meta Superintelligence Labs. Interns in this role are proficient in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as transfer learning, learning from demonstration, reinforcement learning, action-conditioned world models, perception, representation learning, robot control, navigation, mobile manipulation, dexterous manipulation, and vision-language models.

You should have a keen interest in producing new, open science to make embodied agents more intelligent. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

---## Research Scientist Intern, Robotics
- Meta Superintelligence Labs (PhD) Responsibilities
* Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence.
* Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models.
* 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.
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