Research Scientist Intern, Interactive Physics Simulation for Robotics (PhD)
Meta
Research Scientist Intern, Interactive Physics Simulation for Robotics (PhD)
Meta
Posted about 22 hours ago
Internship
Redmond, Washington
In Person
Smart Summary
Responsibilities
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.
Qualifications
You are currently pursuing a PhD in a relevant technical field and possess strong research skills. You have experience implementing numerical methods or deep learning models in large-scale code and are proficient in C++ and/or Python.
Must Have Skills for ATS
C++
Python
numerical methods
differentiable simulation
contact mechanics
deep learning
PyTorch
robotics
computational mechanics
machine learning
Job Description
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
Meta
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