Principal Machine Learning Engineer, Forecasting

Databricks is hiring a Principal Machine Learning Engineer, Forecasting to join our fully remote team in the United States. As a Principal Machine Learning Engineer, Forecasting, you'll turn data into insights and intelligent products. This is a part-time, work-from-home role open to candidates across the US (Remote — US (West Coast)). About the role You'll turn data into insights and intelligent products, partnering with a friendly, distributed team across US time zones. We care about outcomes over hours and give you the autonomy, tools, and support to do your best work from home. What you'll do: • Build and validate models and dashboards • Partner with stakeholders to define metrics • Analyze large datasets to surface actionable insights • Maintain data pipelines and data quality • Communicate findings to technical and non-technical audiences What we offer: • Comprehensive medical, dental, and vision coverage • Annual learning and professional development budget • 100% remote, work-from-anywhere-in-the-US culture • Generous paid time off and company holidays • Flexible working hours across US time zones How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Databricks is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Minimum qualifications: • 7+ years of experience, including leading teams or projects • Strong SQL and Python (or R) • Familiarity with cloud data warehouses • Clear communication skills • Understanding of statistics and experimentation Nice to have: • Familiarity with modern collaboration tools (Slack, Notion, Linear) • A growth mindset and eagerness to keep learning