Meta
AI Research Scientist, Robotics - Meta Superintelligence Labs
$122K–$181K
Menlo Park, CA · Full-time · Posted Sep 15, 2026
- Experience
- 2+ years of industry experience in relevant robotics-related research areas.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; must be completed before joining. PhD in a specified related field or equivalent practical experience; may be in progress.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Conduct fundamental and applied research to advance embodied AI, developing and benchmarking machine-learning approaches for simulated and real-world robots.
What you'll do
- Research embodied AI and develop data-driven robotics paradigms using multiple modalities.
- Develop algorithms and systems using machine learning and neural networks; build and benchmark new AI capabilities.
- Set research milestones and pursue long-term research objectives.
What they ask for
- PhD in Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience; degree may be in progress.
- Relevant robotics research experience, including areas such as robot learning, reinforcement learning, imitation learning, planning, control, or embodied AI.
- Experience with robotics frameworks such as ROS, robot simulations, and real-world hardware; machine-learning systems and deep-learning frameworks.
- Python experience and demonstrated research and software-engineering experience.
Nice to have
- Recognized research results, such as grants, fellowships, patents, or publications at leading venues.
- Experience analyzing large-scale, high-dimensional data and working cross-functionally.
Pay
$122,000/year to $181,000/year USD base salary; bonus and equity amounts not specified
Tools
ROS, pytorch, tensorflow, Python, GitHub
AI focus
Research and develop embodied AI for simulated characters and real robots, including learning, perception, robot control, manipulation, navigation, and vision-language approaches.
Model-written summary · the original posting is authoritative