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Open nowFirst seen 7 hours ago

Research Scientist Intern, Humanoid Control & Dexterous Manipulation (PhD)

Meta1,307 open roles

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Your applicationOpen nowResearch Scientist Intern, Humanoid Control & Dexterous Manipulation (PhD)Meta

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 34 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: first seen 7 hours ago

Meta median: 34 days open

The posting

Meta Reality Labs Research is a team of researchers and engineers pushing the frontier of AI, robotics, and AR/VR technology. Within RL Research, our team is building the next generation of full body loco-manipulation and dexterous hands control policies. We are seeking a Research Scientist Intern to help take novel ideas all the way from inception to real hardware.

Interns in this role may work across the full robotics stack: data collection and processing, algorithm development and model training, and eventually running the algorithm on real robots. It involves working with research scientists and engineers together as a team, fast prototyping and rapid iterations of ideas, and debugging algorithms on real hardware.

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

Responsibilities

  • Independently design, develop, and analyze novel research ideas related to robotic simulation and control, with a focus on loco-manipulation and dexterous manipulation.
  • Deploy, test, and debug algorithms on real robots for sim-to-real transfer.
  • Collaborate with other researchers and engineers across multiple disciplines.
  • Communication of research agenda, progress and results to a diverse audience regularly.
  • Publish research results at top conferences and release code that contributes to the field of robotics.

Minimum Qualifications

  • Currently has or is in the process of obtaining a Ph.D. degree in robotics, computer graphics, computer vision, machine learning, or a related STEM field
  • Experience with physics-based character animation, reinforcement learning and imitation learning, human motion synthesis and retargeting, forward and inverse kinematics and dynamics, numerical optimization
  • Interpersonal experience: cross-group and cross-culture collaboration
  • 1+ years of experience with any of Python/pytorch or C/C++, and developing interactive graphics applications
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

  • Intent to return to degree program after the completion of the internship/co-op
  • 2+ years experience with physical-base character animation and simulation and imitation learning
  • Proven track record of achieving results as demonstrated in accepted papers at top conference and journal venues such as RSS, ICRA, IROS, CoRL, SIGGRAPH/Asia/TOG, CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML etc
  • Experience in contributing to open-source projects
  • Experience in sim-to-real transfer and deploying simulated policies onto real robot hardware
  • Experience with perception algorithms such as SLAM and pose estimation
  • Experience working with tactile sensors

US: $7,650/month to $12,667/month

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