Research Scientist Intern, PyTorch Compiler; PhD

Position: Research Scientist Intern, PyTorch Compiler (PhD)
Our team makes PyTorch run faster and more resource-efficient without sacrificing the flexibility and ease of use of PyTorch. Team scope:

- Advance PyTorch 2.0 technologies that bring torch.compile() to the heart of PyTorch - Advance PyTorch Distributed through torch.compile() - Improve PyTorch out-of-the-box performance on GPU, CPU, accelerators - Vertical performance optimization for models for training and inference Our team at Meta AI offers twelve (12) to sixteen (24) weeks long internships and we have various start dates throughout the year.

Minimum Qualifications

* Currently has or is in the process of obtaining a PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

* Experience in ML compiler, Distributed Training, ML systems, or similar

* Proficient in Python or Cuda programming

* Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

* Experience working on other ML compiler stack, especially on PT2 stack or Triton

* Experience doing performance optimization on machine learning models

* Intent to return to degree program after the completion of the internship/co-op

* 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, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar

* Experience working and communicating cross functionally in a team environment

Responsibilities

* Develop new techniques in Torch Dynamo, Torch Inductor, PyTorch core, PyTorch Distributed.

* Explore the intersection of PyTorch compiler and PyTorch Distributed.

* Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference).

* Improve general PyTorch performance.

* Conduct cutting-edge research on ML compiler and ML distributed technologies.

* Collaborate with users of PyTorch to enable new use cases for the framework both inside and outside Meta.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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