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Active5mo ago

Principal AI Research Scientist, Research Director - AI Scaling

Databricks·📍 Mountain View, California, United States

Employment

Full-Time

Work mode

On-site

Experience

DIRECTOR

Salary

$270K – $340K/yr

Role overview

Job description

Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to supp

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About this listing

  • Listed from Databricks's careers site via Greenhouse · last confirmed on the source 19 Oct 2026
  • Posted 20 May 2026

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What they are looking for

Skills & requirements

Qualification

About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models; The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance; government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department · Executive Engineering - Pipeline

Hiring company

Databricks

Technology

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

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