Senior Applied ML Engineer - ML4Sys
Databricks Mosaic · San Francisco, California
CHECKED 13H AGO
Infrastructureonsitesenior$166k–$210k
At a glance
Highlights
- Apply ML and optimization to maximize efficiency across Databricks infrastructure.
- Drive scaling and efficiency of serverless compute products.
- Design end-to-end ML-for-systems solutions from cluster to query compilation.
What they offer
- Annual performance bonus
- Equity
- Comprehensive benefits
Ideal candidate
A systems-minded ML engineer excited by infrastructure efficiency and large-scale impact. You enjoy owning end-to-end solutions, collaborating with product leaders, and applying research to real distributed systems.
Requirements
- Background in Computer Science and Master's degree in Machine Learning, Data Science, or related field
- Strong background in building, training, and deploying machine learning models in production
- Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks
- Proficiency in Python, Scala, or Java
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