Research Scientist Intern, Policy Learning for Robotics (PhD)
Meta•Redmond, WA
•$7,650 - $12,667
About The Position
Meta Reality Labs Research is seeking a PhD intern to develop next-generation policy learning algorithms for robotics applications, with a focus on training control policies for dexterous robot manipulation. The work may involve reinforcement learning, robotic policy learning, diffusion and flow models, vision-language-action models (VLAs), and sim2real. Internships last 12 to 24 weeks, with various start dates throughout the year.
Requirements
- Currently pursuing a PhD in computer science, machine learning, computational mathematics, or a relevant technical field.
- Research skills involving defining problems, exploring solutions, and analyzing and presenting results.
- Experience implementing numerical methods and/or deep learning models in large-scale code.
- Proficiency in Python.
- Must obtain work authorization in the country of employment by the time of hire and maintain ongoing work authorization during employment.
Nice To Haves
- A proven track record of significant results, demonstrated through grants, fellowships, patents, or first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, RLC, IROS, ICRA, RSS, CoRL, or similar.
- Experience training deep learning models and familiarity with tools such as PyTorch.
- Experience with parallel, distributed, large-scale model training on CPU/GPU clusters.
- Experience working and communicating cross-functionally in a team environment.
- Intent to return to a degree program after completing the internship or co-op.
- Availability for a minimum 16 consecutive-week internship.
Responsibilities
- Develop and implement strategies for training dexterous robot manipulation policies that are efficient and robust under the complexity of contact.
- Implement and optimize devised methods on large-scale cluster infrastructure.
- Collaborate with research scientists and software engineers to build demos and experiences using the developed tools.
- Plan, write, and submit research to high-impact conferences, journals, or workshops in robot learning or reinforcement learning.
Benefits
- Benefits are offered; specific benefits are not listed.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
