Senior Research Scientist, Post-training Llm And Dlm

Invidia

Multiple Locations
Base: 168,000 usd - 264,500 usd (level 3), 192,000...
Post-training algorithms for llms and dlms
Large-scale model training systems
Python programming with pytorch
NVIDIA is at the forefront of foundation models and generative AI systems, enabling cutting-edge research and real-world deployment at unprecedented scale

Job Summary

  • NVIDIA is at the forefront of foundation models and generative AI systems, enabling cutting-edge research and real-world deployment at unprecedented scale.
  • The role involves designing and implementing post-training algorithms for LLMs and DLMs, driving efficiency and scalability improvements, and collaborating with researchers to translate ideas into production-ready implementations.
  • Employees are eligible for equity and benefits, and NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.

Matching Summary

NVIDIA is at the forefront of foundation models and generative AI systems, enabling cutting-edge research and real-world deployment at unprecedented scale.

Salary

Base: 168,000 USD - 264,500 USD (Level 3), 192,000 USD - 304,750 USD (Level 4); Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Post-training algorithms for LLMs and DLMs
  • Large-scale model training systems
  • Python programming with PyTorch
  • Distributed computing and systems programming
  • Collaboration across research and engineering teams

Nice-to-have

  • Expertise in novel algorithmic/data pipelines
  • Developing and scaling distributed deep learning systems
  • Contributions to open-source AI infrastructure
  • Creative and autonomous work style
  • Experience with evaluation frameworks

Key Requirements

  • PhD or equivalent research experience
  • 2+ years experience in machine learning or distributed computing
  • Proficiency in Python and PyTorch
  • Strong computer science fundamentals
  • Ability to collaborate in multifaceted environments

Work Rights

Not specified

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