Senior Research Scientist, Nlp Systems

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Base: 192,000 usd - 304,750 usd; bonus/equity: eli...
Large-scale distributed systems
Deep learning frameworks such as pytorch
Parallel programming with cuda
Our team designs and builds the systems used to train and deploy state-of-the-art large language and multimodal foundation models by employing techniques from both supercomputing and distributed computing

Job Summary

  • Our team designs and builds the systems used to train and deploy state-of-the-art large language and multimodal foundation models by employing techniques from both supercomputing and distributed computing.
  • We collaborate with both internal and external partners, including hardware and software teams, to train and serve some of the world’s largest and best foundation models as efficiently as possible.
  • You will be eligible for equity and benefits with a base salary range of 192,000 USD to 304,750 USD.

Matching Summary

Our team designs and builds the systems used to train and deploy state-of-the-art large language and multimodal foundation models by employing techniques from both supercomputing and distributed computing.

Salary

Base: 192,000 USD - 304,750 USD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • large-scale distributed systems
  • deep learning frameworks such as PyTorch
  • parallel programming with CUDA
  • algorithm development for LLM training
  • hardware and software co-design

Nice-to-have

  • collaboration with hardware and product teams
  • contributing to open-source software
  • publishing at top conferences
  • passion for generative AI research

Key Requirements

  • PhD in Electrical Engineering, Computer Science or related STEM field
  • 4+ years relevant work experience
  • extensive research or work building large-scale deep learning systems
  • thorough understanding of compute system concepts
  • excellent programming skills in Python and C++

Work Rights

Not specified

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