Research Scientist Intern, Policy Learning for Robotics (PhD)
Meta
Research Scientist Intern, Policy Learning for Robotics (PhD)
Meta
Posted 11 days ago
Internship
Redmond, Washington
In Person
Smart Summary
Responsibilities
Develop and implement efficient strategies for training dexterous robot manipulation policies on large-scale cluster infrastructure. Collaborate with research scientists and engineers to build demos and publish research in high-impact conferences and journals.
Qualifications
You are currently pursuing a PhD in a relevant technical field and possess strong research skills. You have experience with Python and implementing numerical methods or deep learning models, ideally with a focus on reinforcement learning and robotics.
Must Have Skills for ATS
Python
reinforcement learning
robot policy learning
diffusion models
flow models
vision-language-action models
sim2real
deep learning
PyTorch
Job Description
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
$7,650/month to $12,667/month + benefits
Meta
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