Research Scientist Intern, PyTorch Core (PhD)

Our team makes PyTorch run faster and more resource-efficient without sacrificing the flexibility and ease of use of PyTorch.

We are looking for a talented intern to join our team on an ambitious open-source, public initiative. The project is aimed at designing an LLM-based Triton and CUDA kernel generator through modern AI techniques

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
-Contribute to the research direction of AI for GPU programming, https://gpu-mode.github.io/popcorn/

Our team at Meta AI offers twelve (12) to sixteen (16) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.facebook.com.Research Scientist Intern, PyTorch Core (PhD) Responsibilities

• Contribute to the development of the LLM for generating GPU kernels using the PyTorch ecosystem stack
• Research and explore techniques to improve the performance of the LLM, such as multiagent systems, planning (Monte Carlo Tree search and similar), reasoning, Reinforcement Learning, and AI Agents
• Collaborate with the open-source community to gather feedback and iterate on the project
• Contribute to PyTorch (Dynamo, Inductor, Core, Distributed) within the scope of the project
• Improve PyTorch performance in general
• Explore the intersection of PyTorch compiler and PyTorch distributed
• Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference)
• Conduct cutting-edge research on ML compiler and ML distributed technologies

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science or a related STEM field
• Experience in ML compiler, Distributed Training, ML systems, or similar
• 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

• Experience working on other ML compiler stack, especially on PT2 stack or Triton
• Cuda programming, C++
• Experience with planning algorithms, MCTS, AI Agents, LLM performance, Reinforcement learning
• Research or 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)
• Intent to return to degree-program after the completion of the internship/co-op

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout 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 WhatsApp 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.
$7,800/month to $11,293/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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