The role involves leading a world-class team to define and execute a research roadmap focused on foundation model efficiency and large-scale training
Job Summary
The role involves leading a world-class team to define and execute a research roadmap focused on foundation model efficiency and large-scale training.
Candidates must possess deep expertise in generative AI and distributed ML systems to drive algorithmic innovations for neural network training and inference.
The position requires translating cutting-edge research breakthroughs into customer-impacting capabilities within the Databricks AI platform through close collaboration with product and engineering teams.
Matching Summary
The role involves leading a world-class team to define and execute a research roadmap focused on foundation model efficiency and large-scale training.
Salary
Base: $270,000 - $340,000 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
Optimize distributed training and inference systems
Nice-to-have
Experience with compiler and kernel optimization
Strong academic network in large-scale ML
First-author publications at top conferences
Influential open-source contributions
Service as PC or area chair at ML conferences
Key Requirements
Proven ability to lead a research team
Strong track record of industry impact
Demonstrated ability to write high-quality code
Excellent communication and stakeholder management skills