Meta · 7 hours ago
Research Scientist Intern, MSL Infra Kernels & Optimizations (PhD)
Menlo Park, CA
Internship
Onsite
InternMeta is looking to hire PhD Research Scientist interns for their Meta SuperIntelligence Labs (MSL) Infra Kernels & Optimizations team. The role involves exploring, developing, and optimizing high-performance model, software, and hardware technologies to support Meta's mission of building superintelligence.
Computer Software
Responsibilities
Explore, prototype and productionize highly optimized ML kernels to unlock full potential of current and future accelerators for Meta’s AI workloads. Open source SOTA implementations as applicable
Explore, co-design and optimize parallelisms, compute efficiency, distributed training/inference paradigms and algorithms to improve the scalability, efficiency and reliability of inference and large-scale training systems
Optimize inference and training communications performance at scale and investigate improvements to algorithms, tooling, and interfaces, working across multiple accelerator types and HPC collective communication libraries such as NCCL, RCCL, UCC and MPI
Innovate and co-design novel model architectures for sustained scaling and hardware efficiency during training and inference
Benchmark, analyze, model and project the performance of AI workloads against a wide range of what-if scenarios and provide early input to the design of future hardware, models and runtime, giving crucial feedback to the architecture, compiler, kernel, modeling and runtime teams
Explore, co-design and productionize model compression techniques such as Quantization, Pruning, Distillation and Sparsity to improve training and inference efficiency
Collaborate with AI & Systems Co-design to guide Meta’s AI HW strategy
Qualification
Required
Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Computer Vision, Generative AI, NLP, relevant technical field, or equivalent practical experience
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Specialized experience in one or more of the following areas: Accelerators/GPU architectures, High Performance Computing (HPC), Machine Learning Compilers, Training/Inference ML Systems, Model Compression, Communication Collectives, ML Kernels/Operator optimizations, Machine learning frameworks (e.g. PyTorch) and SW/HW co-design
Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python
Preferred
Intent to return to degree-program after the completion of the internship/co-op
Experience or knowledge of training/inference of large scale deep learning models
Experience or knowledge of either Generative AI models such as LLMs/LDMs or Ranking & Recommendation models such as DLRM or equivalent
Experience or knowledge of distributed ML systems and algorithm development
Experience or knowledge of at least one of the responsibilities listed in this job posting
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
Experience working and communicating cross functionally in a team environment
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Founded in 2004
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
Recent News
Crunchbase News
2025-11-17
2025-11-16
Company data provided by crunchbase