Robotics Policy Learning Intern: Dexterous Manipulation RL

Meta; Redmond (WA); On-site; USD 55,000 - 83,000; Full time

Job summary

Meta Reality Labs Research is seeking an internship candidate for the Research Scientist Intern, Policy Learning for Robotics (PhD) in Redmond, WA. The role focuses on developing policy learning algorithms for dexterous robot manipulation, with emphasis on reinforcement learning, diffusion/flow models, and vision-language-action systems.

Internships run 12 to 24 weeks with multiple start dates throughout the year.

Qualifications

• Currently pursuing a PhD in computer science, machine learning, numerical mathematics or a relevant technical field.

Responsibilities

• Develop and implement strategies for training dexterous robot manipulation policies that are efficient and robust.
• Implement and optimize methods on a large-scale cluster infrastructure.
• Collaborate with research scientists and software engineers to build demos and experiences based on developed tools.
• Plan, write and submit research to high-impact conferences, journals or workshops in robot learning or reinforcement learning.

Skills

Reinforcement learning

Robot policy learning

Diffusion models

VLAs (vision-language-action models)

Sim2real

Education

PhD candidate in CS/ML/Math

Tools

Large-scale clusters

Job description

Meta Reality Labs Research is seeking an internship candidate for the Research Scientist Intern, Policy Learning for Robotics (PhD) in Redmond, WA. The role focuses on developing policy learning algorithms for dexterous robot manipulation, with emphasis on reinforcement learning, diffusion/flow models, and vision-language-action systems.

Internships run 12 to 24 weeks with multiple start dates throughout the year.