Senior Applied AI Engineer
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build end-to-end agentic machine learning systems and solutions for software, machine learning, data, and MLOps engineers. You will lead applied ML investments, develop and deploy ML and AI models, build scalable training and serving infrastructure, and work on forecasting techniques.
Requirements
- 2-8 years of engineering experience in high-velocity, high-growth companies
- Software engineering skills
- Knowledge of software engineering principles for testing and deployment
- Experience developing production AI and ML systems at scale is a plus
- Experience with ML modeling beyond standard libraries is a plus
- Experience deploying, scaling, and monitoring production models is desirable
- Understanding of infrastructure challenges for training and serving predictions in Tier 0 environments is desirable
Responsibilities
- Build end-to-end agentic machine learning systems
- Build solutions for software engineers, ML engineers, data engineers, data scientists, and MLOps engineers
- Own applied machine learning investments with engineering and product teams
- Develop and deploy ML and AI models and systems
- Architect and implement scalable ML infrastructure for model training and serving
- Work on forecasting techniques
- Present at conferences and participate in open-source projects
