Research Scientist Intern, Interactive Physics Simulation for Robotics (PhD)

Meta

Redmond, WAOn-siteInternship
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Pay
$7.7K to $12.7K
a month
Location
Redmond, WA
Work style
On-site
Job type
Internship
Posted
Nov 2
1 day ago
Career path

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About the company

Meta

Software Development · 10,001+ employees

Meta's mission is to build the future of human connection and the technology that makes it possible.

Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology.

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What you'll do

  • Develop and implement novel numerical methods for differentiable simulation of contact mechanics and robot manipulation policies.
  • Collaborate with research scientists and software engineers to integrate these methods into larger software infrastructures and build functional demos.

What you need

  • Candidates must be currently pursuing a PhD in a relevant technical field such as computer science, machine learning, or computational mechanics.
  • Proficiency in C++ or Python and experience with numerical methods or deep learning models are required.
  • Education: a postgraduate degree

Key skills

Physics simulationComputational mechanicsRoboticsNumerical methodsContact mechanicsC++PythonDeep learningPyTorchCUDAParallel computingAlgorithm developmentSoftware engineeringResearch

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Perks

  • Benefits

See full description on company page, apply now

Read the full posting here
Meta Reality Labs Research is looking for an intern to help us develop the next-generation physics simulators for robotics applications. In particular, we are seeking candidates who have experience with physics simulations, computational mechanics, and robotics training, to devise algorithms that make simulation more effective in training 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, implement, and test novel numerical methods for differentiable simulation of contact mechanics. 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 in a larger software infrastructure, and collaborate with research scientists and software engineers to build demos and experiences based upon the developed tools. Minimum Qualifications Currently is in the process of obtaining 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 a large-scale code Proficient in C++ and/or 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 SIGGRAPH, NeurIPS, ICML, ICLR, or similar Experience with high performance/parallel computing (e.g. CUDA) Experience with training deep learning models and familiarity with tools like PyTorch 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 $7,650/month to $12,667/month + benefits

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