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Open nowFirst seen 4 hours ago

Research Scientist Intern, Policy Learning for Robotics (PhD)

Meta1,234 open roles

Where
Redmond, WA
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Your applicationOpen nowResearch Scientist Intern, Policy Learning for Robotics (PhD)Meta · Redmond, WA

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 4 hours ago

Meta median: 35 days open

The posting

Meta Reality Labs Research is looking for an intern to help us develop the next-generation of policy learning algorithms for robotics applications. In particular, we are seeking candidates who have experience with reinforcement learning, robotic policy learning, diffusion and flow models, vision-language-action models (VLAs), and sim2real to devise effective algorithms to train control policies for dexterous robot manipulation.

Our internships are twelve (12) to twenty-four (24) weeks long and we have 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 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.

Minimum Qualifications

  • 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
  • Proficient 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 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
  • Experience with training deep learning models and familiarity with tools like 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 degree program after the completion of the internship/co-op
  • Availability for minimum 16 consecutive week internship

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

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