Senior Genai Research Scientist - Ai Efficiency & Optimization

Databricks

Mountain View, California, US
Base: $166,000 - $230,000 usd; bonus/equity: eligi...
On-site
Python programming skills
Pytorch framework expertise
Deep learning research experience
The role involves defining independent research agendas on foundation model efficiency in model training and reinforcement learning

Job Summary

  • The role involves defining independent research agendas on foundation model efficiency in model training and reinforcement learning.
  • Candidates will drive algorithmic innovations for large-scale neural network training or inference using novel optimizers and adaptation methods.
  • Databricks is committed to making high-quality AI available to all by encoding scientific expertise into their products.

Matching Summary

The role involves defining independent research agendas on foundation model efficiency in model training and reinforcement learning.

Salary

Base: $166,000 - $230,000 USD; Bonus/Equity: Eligible for annual performance bonus and equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • Python programming skills
  • PyTorch framework expertise
  • Deep learning research experience
  • Distributed training optimization
  • Model inference efficiency

Nice-to-have

  • First-author conference publications
  • Collaborative team environment
  • Customer-focused scientific mindset
  • Reinforcement learning knowledge
  • Low-precision technique innovation

Key Requirements

  • MS or PhD in Computer Science
  • Strong machine learning foundations
  • Top-tier ML conference publications preferred

Work Rights

Not specified

Tailored Resume

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