Facebook Research Scientist, PyTorch Compiler (University Grad) in Denver, Colorado
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Our team’s mission is to make PyTorch faster and easier to use in order to create and maintain a state-of-the-art machine learning framework that is used across Facebook and the entire industry. The key challenges in the team are extracting structure from PyTorch programs (via TorchScript, torch.fx, and Lazy Tensors), generating fast CPU/GPU code (via runtimes, graph optimizations, and code generation), and enabling deployment of PyTorch (via hardware accelerators and embedding PyTorch inside other systems).
Develop new techniques to improve the PyTorch compiler.
Find opportunities for new optimizations to make PyTorch faster.
Apply knowledge and research to advance the state-of-the-art in machine learning frameworks.
Collaborate with users of PyTorch to enable new use cases for the framework both inside and outside Facebook.
Currently has or in the process of obtaining PhD or BS/MS in computer science or related field and 2+ years of experience.
Experience in machine learning, systems, programming languages, or compilers.
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Research and software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, and/or coding competitions.
Experience doing performance optimization on machine learning models.
First-authored publications at peer-reviewed conferences (e.g. NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar).
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