Meta
Research Scientist Intern, Robotics - Meta Superintelligence Labs (PhD)
Menlo Park, CA · Internship · Posted Oct 1, 2026
- Experience
- 1+ years in robotics or a related field, or advanced degree with equivalent experience.
- Education
- Currently has or is in the process of obtaining a Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, Robotics, Computer Vision, Machine Learning, or a related STEM field.
- Visa sponsorship
- Must obtain work authorization in the country of employment by hire and maintain it during employment.
About the job
Conduct fundamental and applied research to advance embodied AI, developing and evaluating algorithms, models, and robotic capabilities across simulated and real-world settings.
What you'll do
- Design and implement AI algorithms and models with research scientists and engineers; build and benchmark new capabilities.
- Develop data-driven robotics approaches using varied modalities and investigate embodied behaviors from simulation to real robots.
- Conduct research toward long-term goals, setting intermediate milestones and advancing machine learning methods.
What they ask for
- Currently has or is pursuing a Ph.D. in a listed or related STEM field.
- Experience in at least one listed research area, such as robotics, embodied AI, reinforcement learning, or vision-language models.
- Experience with machine learning models and frameworks such as PyTorch or TensorFlow.
- Accepted papers in top conferences or journals; 1+ years of experience in robotics or a related field, or advanced degree with equivalent experience.
Nice to have
- Experience designing and developing robotic systems, platforms, or infrastructure.
- Experience analyzing large-scale, high-dimensional data and building systems using machine learning or deep learning.
Pay
$7,650/month to $12,667/month (USD; monthly compensation; base salary or total pay not specified)
Tools
PyTorch, TensorFlow
AI focus
Research and development of embodied AI and robotics, including data-driven paradigms, machine learning algorithms, and capabilities for simulated agents and real robots.
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