Machine Learning Engineer

DoorDash is hiring a Machine Learning Engineer to join our fully remote team in the United States. As a Machine Learning Engineer, 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). 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: • Communicate findings to technical and non-technical audiences • Partner with stakeholders to define metrics • Analyze large datasets to surface actionable insights • Build and validate models and dashboards • Maintain data pipelines and data quality What we offer: • Competitive salary and meaningful equity • 100% remote, work-from-anywhere-in-the-US culture • Flexible working hours across US time zones • 401(k) retirement plan with company match • Paid parental leave 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: • 2+ years of relevant experience • Familiarity with cloud data warehouses • Clear communication skills • Understanding of statistics and experimentation • Experience with data visualization tools Nice to have: • Experience working in a fully remote or distributed team • Familiarity with modern collaboration tools (Slack, Notion, Linear)