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Meta · 3 days ago

Research Scientist, AI & Systems Co-design (PhD)

Menlo Park, CA

Full-time

Onsite

Mid, Senior Level

$122K/yr - $181K/yr

Meta is a technology company that builds platforms to connect people and empower communities. They are seeking a Research Scientist to explore and optimize AI and systems co-design, focusing on improving performance and efficiency in large-scale training and inference systems. The role involves collaborating with various teams to innovate and prototype solutions that can be productionized for Meta's AI workloads.

Computer Software

Comp. & Benefits

Responsibilities

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

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

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

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

Guide Meta’s AI HW requirements and design focusing on performance at System and Silicon levels. Co-design and optimize our AI HW and related software stack for Meta’s future workloads, with technology pathfinding and evaluation of cutting-edge, including off-market hardware systems, spanning multi-vendor/generation GPUs and ASICs, including Meta’s in-house MTIA

Qualification

PhD in Computer ScienceAccelerators/GPU architecturesHigh Performance ComputingMachine Learning CompilersC/C++ programmingPython programmingModel CompressionDistributed ML systemsSoft skills

Required

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Vision, Generative AI, NLP, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

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

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment