About The Position

Meta Reality Labs Research is seeking a Research Scientist Intern to help develop next-generation physics simulators for robotics applications. The work focuses on physics simulation, computational mechanics, and robotics training, including algorithms that make simulation more effective for training control policies for dexterous robot manipulation. Internships last 12 to 24 weeks, with various start dates throughout the year.

Requirements

  • Currently pursuing a PhD in computer science, computer graphics, computational mechanics, 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 C++ and/or Python.
  • Must obtain work authorization in the country of employment by the time of hire and maintain ongoing work authorization during employment.

Nice To Haves

  • A proven track record of significant results, demonstrated through grants, fellowships, patents, or first-authored publications at leading workshops or conferences such as SIGGRAPH, NeurIPS, ICML, ICLR, or similar.
  • Experience with high-performance or parallel computing, such as CUDA.
  • Experience training deep learning models and familiarity with tools such as PyTorch.
  • Experience working and communicating cross-functionally in a team environment.
  • Intent to return to a degree program after completing the internship/co-op.
  • Availability for a minimum 16 consecutive-week internship.

Responsibilities

  • Develop, implement, and test novel numerical methods for differentiable simulation of contact mechanics.
  • Develop and implement efficient, robust strategies for training dexterous robot manipulation policies under the complexity of contact.
  • Implement and optimize methods in larger software infrastructure.
  • Collaborate with research scientists and software engineers to build demos and experiences based on the developed tools.

Benefits

  • Benefits are offered; specific benefits are not listed.
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