Meta · 6 hours ago
Research Scientist Intern, MSL Infra Kernels & Optimizations (PhD)
Menlo Park, CA
Internship
Onsite
Intern
$7,650/mo - $12,134/moMeta’s Meta SuperIntelligence Labs (MSL) Infra Kernels & Optimizations team is looking to hire PhD Research Scientists interns to join their Research & Development teams. The role involves exploring, developing, and productionizing high performance model, software, and hardware technologies to build superintelligence, with a focus on optimizing various aspects of AI systems.
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
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python
Preferred
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
Benefits
Benefits
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
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