Senior GenAI Research Scientist - AI Efficiency & Optimization
Posted
$166,000 USD
Tech Stack
Responsibilities
- Define and lead independent research agendas on foundation model efficiency in model training and reinforcement learning, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches
- Drive algorithmic innovations for large-scale neural network training or inference (e.g., novel optimizers, low-precision techniques, model adaptation methods)
- Optimize ML systems for distributed training, memory efficiency, and compute efficiency through hands-on implementation.
Benefits
- Equity
Culture
Cross-Functional CollaborationMission-DrivenInclusive HiringDiverse Leadership
Requirements
Required: MS/PhD in Computer Science or related field
Regions: Us
Get jobs like this in your inbox
Weekly Express, Go, Python hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About Databricks
Industry: data
Size: enterprise
Databricks is the data and AI company, providing a Data Intelligence Platform used by over 10,000 organizations worldwide to unify and democratize data, analytics, and AI.
View company profile →Compensation
Base salary: $166,000 USD
Equity: equity
Bonus: annual performance bonus
Similar Jobs
Senior GenAI Research Engineer - Optimization and Kernels
Databricks · San Francisco, California
$166k
Principal Research Scientist - AI Scaling & Optimization
Databricks · Mountain View, California; San Francisco, California
$270k
Principal Research Scientist/TLM - AI Scaling
Databricks · Mountain View, California; San Francisco, California
$270k
Staff GenAI Research Scientist - Agents
Databricks · New York City, New York
$192k
PhD GenAI Research Scientist Intern
Databricks · San Francisco, California