Research Scientist Intern, Policy Learning for Robotics (PhD)
- Pay
- $7,650 – $12,667 per month
- Location
- Redmond, WA · On-site
- Job type
- Full-time
- Level
- Entry level
- Education
- Doctorate
- Listed
- 14 days ago
Skills & highlights for this role
- reinforcement learning
- Python
- deep learning
- numerical methods
- research methodology
Also useful
- robotic policy learning
- diffusion models
- flow models
- vision-language-action models
- sim2real
- PyTorch
- parallel distributed large-scale model training
- cross-functional collaboration
About the role
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- Research Scientist Intern, Policy Learning for Robotics (PhD)
- Redmond, WA
- Artificial Intelligence
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Meta Reality Labs Research is looking for an intern to help us develop the next-generation of policy learning algorithms for robotics applications. In particular, we are seeking candidates who have experience with reinforcement learning, robotic policy learning, diffusion and flow models, vision-language-action models (VLAs), and sim2real to devise effective algorithms to train control policies for dexterous robot manipulation.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Policy Learning for Robotics (PhD) Responsibilities
- Develop and implement strategies for training dexterous robot manipulation policies that are efficient and robust under the complexity of contact.
- Implement and optimize the methods devised on a large-scale cluster infrastructure.
- Collaborate with research scientists and software engineers to build demos and experiences based on the developed tools.
- Plan, write and submit the research to high impact conferences, journals or workshops in the field of robot learning or reinforcement learning for broader visibility.
Minimum Qualifications
- Currently is in the process of obtaining 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 a large-scale code
Proficient in Python
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, RLC, IROS, ICRA, RSS, CoRL or similar
- Experience with training deep learning models and familiarity with tools like 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 degree program after the completion of the internship/co-op
- Availability for minimum 16 consecutive week internship
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United States of America: $7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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From Meta's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Research Scientist Intern, Policy Learning for Robotics (PhD) role at Meta?
The Research Scientist Intern, Policy Learning for Robotics (PhD) posting at Meta states compensation of $7,650 – $12,667 per month. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Meta's official career site.
Where is the Research Scientist Intern, Policy Learning for Robotics (PhD) job at Meta located?
This Research Scientist Intern, Policy Learning for Robotics (PhD) position at Meta is located in Redmond, WA (On-site). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Research Scientist Intern, Policy Learning for Robotics (PhD) at Meta?
For the Research Scientist Intern, Policy Learning for Robotics (PhD) role, Meta highlights a doctorate; experience with reinforcement learning, Python, deep learning, numerical methods, research methodology. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
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