Lead Machine Learning Engineer, Risk

Lyft is hiring a Lead Machine Learning Engineer, Risk to join our fully remote team in the United States. As a Lead Machine Learning Engineer, Risk, you'll turn data into insights and intelligent products. This is a full-time, work-from-home role open to candidates across the US (Remote — US (East 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: • Partner with stakeholders to define metrics • Build and validate models and dashboards • Analyze large datasets to surface actionable insights • Maintain data pipelines and data quality • Communicate findings to technical and non-technical audiences What we offer: • Flexible working hours across US time zones • Comprehensive medical, dental, and vision coverage • 100% remote, work-from-anywhere-in-the-US culture • Competitive salary and meaningful equity • 401(k) retirement plan with company match 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: • 7+ years of experience, including leading teams or projects • Strong SQL and Python (or R) • Experience with data visualization tools • Understanding of statistics and experimentation • Clear communication skills Nice to have: • Experience in a fast-paced, high-growth environment • Comfort communicating clearly and proactively in writing