Research Scientist Intern

About the Role

Meta Reality Labs Research is looking for an intern to help develop next-generation policy learning algorithms for robotics applications.

Key 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 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 the field of robot learning or reinforcement learning for broader visibility.

Requirements & Tech Stack

• Python
• Experience implementing numerical methods and/or deep learning models in large-scale code.
• Experience with training deep learning models.
• 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.

Qualifications

• Research skills involving defining problems, exploring solutions, and analyzing and presenting results.
• Experience with reinforcement learning, robotic policy learning, diffusion and flow models, vision-language-action models (VLAs), and sim2real.
• 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.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Availability for a minimum 16 consecutive week internship.

Internship Duration: Twelve (12) to twenty-four (24) weeks.

Various start dates throughout the year.