Research Scientist Intern, PyTorch Distributed (PhD) jobs in United States
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Meta · 3 hours ago

Research Scientist Intern, PyTorch Distributed (PhD)

Meta is seeking a Research Scientist Intern to join their Meta PyTorch Distributed Team. The role involves applying AI and machine learning techniques to enhance the PyTorch framework and collaborating with users to enable new use cases for the framework.

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Comp. & Benefits

Responsibilities

Apply relevant AI and machine learning techniques to advance the state-of-the-art in machine learning frameworks
Collaborate with users of PyTorch to enable new use cases for the framework both inside and outside Meta
Develop novel, accurate AI algorithms and advanced systems for large scale distributed training and inference
Leverage graph-based and compiler-based technologies to optimize distributed training and distributed inference use-cases

Qualification

Machine LearningDeep LearningDistributed SystemsPyTorchTensorFlowJAXGPU ArchitectureCross-functional CommunicationTeam Collaboration

Required

Experience in one or more of the following machine learning/deep learning domains: Large scale training and inference ML Systems Research, ML theory: Basic knowledge about ML models in different modalities like LLM (Large Language Models), Vision (VITS, MVITS) and Multimodal and how scale impacts performance, ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, distributed systems, on-device optimization
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Experience or knowledge on training models at scale using PyTorch/TensorFlow/JAX
Experience or knowledge on working with a distributed GPU cluster
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar
Experience working and communicating cross functionally in a team environment

Benefits

Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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