Principal Research Scientist – Scaling

Databricks

San Francisco, United States
Base: $280,000 - $350,000 usd; bonus/equity: eligi...
On-site
Lead multidisciplinary research team
Deep expertise in llm scaling and efficiency
Hands-on python and pytorch programming
The role involves leading a team of researchers to advance state-of-the-art in large-scale machine learning focusing on post-training, RL, and inference efficiency

Job Summary

  • The role involves leading a team of researchers to advance state-of-the-art in large-scale machine learning focusing on post-training, RL, and inference efficiency.
  • You will define and execute a research roadmap that delivers tangible improvements to how customers train, serve, and adapt LLMs at scale.
  • The position requires close collaboration with product and engineering leaders to translate cutting-edge methods into production-ready infrastructure.

Matching Summary

The role involves leading a team of researchers to advance state-of-the-art in large-scale machine learning focusing on post-training, RL, and inference efficiency.

Salary

Base: $280,000 - $350,000 USD; Bonus/Equity: Eligible for annual performance bonus and equity; Benefits: Not specified

Skills & Requirements

Must-have

  • Lead multidisciplinary research team
  • Deep expertise in LLM scaling and efficiency
  • Hands-on Python and PyTorch programming
  • Translate research into scalable product capabilities

Nice-to-have

  • Strong industry and academic network
  • First-author publications at top conferences
  • Experience with distributed training frameworks
  • Open-source contributions in optimization

Key Requirements

  • Proven ability to lead a research team
  • Strong track record of industry impact
  • Demonstrated ability to write efficient code

Work Rights

Not specified

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