Senior Applied AI Engineer
Core
Apply machine learning and optimization algorithms to improve the usability and efficiency of AutoML and user-facing products, focusing on classification, regression, forecasting, and recommendations.
Role type
Senior Applied ML/AI Engineer
Builds
Production ML systems and features for Databricks' infrastructure and products
Domain
Data & AI / Machine Learning
Deliverable
production ML models
Required skills
Machine learning engineering, computer systems, statistics, software engineering, mathematical modeling
Preferred skills
Model deployment and scaling, Tier 0 environment infrastructure challenges
Technologies
AutoML, Deep Learning, Apache Spark, Delta Lake, MLflow
Responsibilities
Build features and run end-to-end systems in a small team; Shape the direction of applied ML investment; Drive development and deployment of state-of-the-art ML/AI models; Architect and implement robust, scalable ML infrastructure; Work on novel modeling techniques for forecasting.
Seniority
Senior, hands-on IC