Research Scientist Intern, Policy Learning for Robotics (PhD)

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

Research Scientist Intern, Policy Learning for Robotics (PhD)# Research Scientist Intern, Policy Learning for Robotics (PhD)Redmond, WA Artificial Intelligence+ 3 moreApply nowMeta 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