**Summary:** 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 techniquesTeam 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. **Required Skills:** Research Scientist Intern, PyTorch Core (PhD) Responsibilities: 1. Contribute to the development of the LLM for generating GPU kernels using the PyTorch ecosystem stack 2. 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 3. Collaborate with the open-source community to gather feedback and iterate on the project 4. Contribute to PyTorch (Dynamo, Inductor, Core, Distributed) within the scope of the project 5. Improve PyTorch performance in general 6. Explore the intersection of PyTorch compiler and PyTorch distributed 7. Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference) 8. Conduct cutting-edge research on ML compiler and ML distributed technologies **Minimum Qualifications:** Minimum Qualifications: 9. Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science or a related STEM field 10. Experience in ML compiler, Distributed Training, ML systems, or similar 11. Proficient in Python 12. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 13. Experience working on other ML compiler stack, especially on PT2 stack or Triton 14. Cuda programming, C++ 15. Experience with planning algorithms, MCTS, AI Agents, LLM performance, Reinforcement learning 16. Research or software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, and/or coding competitions 17. Experience doing performance optimization on machine learning models 18. First-authored publications at peer-reviewed conferences (e.g. NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar) 19. Intent to return to degree-program after the completion of the internship/co-op **Public Compensation:** $7,800/month to $11,293/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.