Machine Learning Engineer, Forecasting

Lyft is hiring a Machine Learning Engineer, Forecasting to join our fully remote team in the United States. As a 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). 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: • Partner with stakeholders to define metrics • Communicate findings to technical and non-technical audiences • Analyze large datasets to surface actionable insights • Maintain data pipelines and data quality • Build and validate models and dashboards What we offer: • Generous paid time off and company holidays • Competitive salary and meaningful equity • 100% remote, work-from-anywhere-in-the-US culture • 401(k) retirement plan with company match • Comprehensive medical, dental, and vision coverage How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Lyft is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Minimum qualifications: • 2+ years of relevant experience • Understanding of statistics and experimentation • Familiarity with cloud data warehouses • Strong SQL and Python (or R) • Clear communication skills Nice to have: • A track record of taking ownership and shipping independently • Familiarity with modern collaboration tools (Slack, Notion, Linear)