Senior Machine Learning Engineer, Risk

DoorDash is hiring a Senior Machine Learning Engineer, Risk to join our fully remote team in the United States. As a Senior Machine Learning Engineer, Risk, you'll turn data into insights and intelligent products. This is a contract, 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: • Partner with stakeholders to define metrics • Maintain data pipelines and data quality • Build and validate models and dashboards • Communicate findings to technical and non-technical audiences • Analyze large datasets to surface actionable insights What we offer: • Competitive salary and meaningful equity • 100% remote, work-from-anywhere-in-the-US culture • Comprehensive medical, dental, and vision coverage • Flexible working hours across US time zones • Annual learning and professional development budget How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. DoorDash is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Minimum qualifications: • 5+ years of relevant experience • Understanding of statistics and experimentation • Familiarity with cloud data warehouses • Strong SQL and Python (or R) • Experience with data visualization tools Nice to have: • Familiarity with modern collaboration tools (Slack, Notion, Linear) • A track record of taking ownership and shipping independently