Principal Research Scientist – Scaling
Databricks · San Francisco, CA · Executive Engineering - Pipeline
About this role
Databricks is hiring a principal-level Research Scientist in the machine learning function based in San Francisco, CA. The posting calls out experience with Python, Spark, Databricks, PyTorch. Compensation is listed at $280,000–$350,000 per year.
- Role
- Research Scientist
- Function
- machine learning
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- Executive Engineering - Pipeline
More roles at Databricks
Job description
from Databricks careersP-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 support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners.