Research Scientist Intern - Robotics Foundation Models - Agentic RL

Meta; Menlo Park (CA); On-site; USD 41,000 - 69,000; Full time

Job summary

Meta Reality Labs Research in Menlo Park is seeking a Research Scientist Intern to develop scalable offline reinforcement learning methods for post-training embodied AI models. You will collaborate with research scientists and engineers to advance world action models and vision-language-action models for robotic manipulation.

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

Job description

Meta Reality Labs Research is a team of researchers and engineers pushing the frontier of AI and robotics. Our team is building the next generation of world action models (WAMs) and vision-language-action models (VLAs) for robotic manipulation. We are seeking a Research Scientist Intern to develop scalable offline reinforcement learning methods for post-training these models.

Interns in this role will conduct fundamental and applied research to advance foundation models for robotics, with a focus on post-training. You will collaborate with research scientists and engineers to develop new algorithms, build and evaluate model capabilities, and contribute to the next generation of embodied AI.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.