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.Research Scientist Intern, PyTorch Core (PhD) ResponsibilitiesContribute to the development of the LLM for generating GPU kernels using the PyTorch ecosystem stackResearch 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 AgentsCollaborate with the open-source community to gather feedback and iterate on the projectContribute to PyTorch (Dynamo, Inductor, Core, Distributed) within the scope of the projectImprove PyTorch performance in generalExplore the intersection of PyTorch compiler and PyTorch distributedOptimize Generative AI models across the stack (pre-training, fine-tuning, and inference)Conduct cutting-edge research on ML compiler and ML distributed technologiesMinimum QualificationsCurrently has, or is in the process of obtaining, a PhD degree in the field of Computer Science or a related STEM fieldExperience in ML compiler, Distributed Training, ML systems, or similarProficient in PythonMust obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentPreferred QualificationsExperience working on other ML compiler stack, especially on PT2 stack or TritonCuda programming, C++Experience with planning algorithms, MCTS, AI Agents, LLM performance, Reinforcement learningResearch or software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, and/or coding competitionsExperience doing performance optimization on machine learning modelsFirst-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 + benefitsIndividual 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. Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
