Principal Research Scientist – Scaling

Databricks

San Francisco, California, United States
Base: $280,000 - $350,000 usd; bonus/equity: eligi...
On-site
Lead multidisciplinary research team
Deep expertise in llms and scaling
Hands-on python and pytorch coding
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.
  • Candidates must define a research roadmap that aligns with strategic objectives while driving algorithmic innovations for foundation model efficiency.
  • The position requires translating research breakthroughs into customer-impacting capabilities through close partnership with product and engineering leaders.

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 LLMs and scaling
  • Hands-on Python and PyTorch coding
  • Translate research into production capabilities
  • Optimize distributed ML systems

Nice-to-have

  • Strong industry and academic network
  • First-author publications at top conferences
  • Experience with compiler and kernel optimization
  • Foster culture of scientific excellence
  • Collaborate with open-source community

Key Requirements

  • Proven ability to lead research teams
  • Strong track record of industry impact
  • Demonstrated ability to write efficient code
  • Excellent communication and stakeholder management skills

Work Rights

Not specified

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