Staff Machine Learning Engineer
Databricks Mosaic · San Francisco, California · Mountain View, California
CHECKED 15H AGO
Infrastructureonsitestaff$190k–$285k
At a glance
Highlights
- Advance GenAI products like Assistant and AI/BI Genie at scale.
- Tackle code suggestion, text-to-SQL, and knowledge QA challenges.
- Shape next-phase LLM quality across Databricks products.
What they offer
- annual performance bonus
- equity
- benefits
Ideal candidate
ML engineer with 2-8 years in fast-paced teams who loves shipping real-world GenAI products. Analytical and product-minded, passionate about improving AI-driven user experiences at scale.
Requirements
- 2-8 years of machine learning engineering experience in high-velocity, high-growth companies
- Strong track record of working with language modeling technologies
- Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures
- Ability to drive end-to-end model development from research to deployment and monitoring
- Strong analytical and problem-solving skills
- Strong coding and software engineering skills including testing and code reviews
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration