研究科学家实习生，机器人政策学习

Meta（Meta Platforms）岗位：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.

Currently is in the process of obtaining 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 a large-scale code

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

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

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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.