ml engineer AutoML products

Databricks is a Data and AI company whose platform helps organizations build and scale data and AI applications, analytics, and agents. Its unified platform includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

• Build features and run end-to-end systems in a small team of experienced engineers and data scientists;
• Shape the direction of applied ML investment by engaging with engineering and product teams across the company;
• Drive the development and deployment of state-of-the-art ML/AI models and systems impacting Databricks’ products, infrastructure, and services;
• Architect and implement robust, scalable ML infrastructure, including model training and serving components for production integration;
• Work on novel ML modeling techniques for forecasting;
• Contribute to the broader AI community by presenting at conferences and participating in open source projects.

• 2–8 Years of machine learning engineering experience in high-velocity, high-growth companies;
• Strong understanding of computer systems and statistics;
• Experience developing AI/ML systems at scale in production;
• Strong track record of ML modeling beyond standard libraries;
• Strong coding and software engineering skills;
• Familiarity with testing, code reviews, and deployment principles;
• Broad knowledge or willingness to develop mathematical modelling beyond ML;
• Nice to have: experience deploying, scaling, and monitoring models in production, understanding of infrastructure challenges in Tier 0 training and prediction-serving environments.

• Benefits and perks are provided; specific details depend on the region;
• The employer may decline to proceed with an applicant if access to export-controlled technology or source code requires a U.S. government license and the license is not pursued.