Senior GenAI Research Engineer - Optimization and Kernels
Databricks · Mountain View, CA | San Francisco, CA · Engineering - Pipeline
About this role
Databricks is hiring a senior-level AI Engineer in the machine learning function based in Mountain View, CA | San Francisco, CA. The posting calls out experience with Python, CUDA, Spark, Databricks. Compensation is listed at $166,000–$225,000 per year.
- Role
- AI Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Mountain View, CA | San Francisco, CA
- Department
- Engineering - Pipeline
More roles at Databricks
Job description
from Databricks careersAt Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.
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.
Job Description
As a Sr. Research Engineer on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.