Research Scientist Intern - Policy Learning for Robotics - PhD

Meta Reality Labs Research is looking for an intern to help develop next-generation policy learning algorithms for robotics applications. The role focuses on reinforcement learning, robotic policy learning, diffusion and flow models, vision-language-action models (VLAs), and sim2real to devise effective algorithms for training control policies for dexterous robot manipulation. Internships are twelve to twenty-four weeks long, with various start dates throughout the year. ## Responsibilities - Develop and implement strategies for training dexterous robot manipulation policies that are efficient and robust under the complexity of contact. - Implement and optimize methods 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 research to high-impact conferences, journals, or workshops in robot learning or reinforcement learning. ## Minimum Qualifications - Currently pursuing 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 large-scale code. - Proficiency 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 significant results, such as grants, fellowships, patents, or first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, RLC, IROS, ICRA, RSS, or CoRL. - Experience training deep learning models and familiarity with tools such as 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 a degree program after completing the internship or co-op. - Availability for a minimum 16 consecutive week internship.