Machine Learning Engineer, Forecasting

DoorDash 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 full-time, work-from-home role open to candidates across the US (Remote — US (CST)). 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 • Maintain data pipelines and data quality • Communicate findings to technical and non-technical audiences • Analyze large datasets to surface actionable insights What we offer: • Comprehensive medical, dental, and vision coverage • Flexible working hours across US time zones • Paid parental leave • 401(k) retirement plan with company match • 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: • 2+ years of relevant experience • Clear communication skills • Strong SQL and Python (or R) • Experience with data visualization tools • Understanding of statistics and experimentation Nice to have: • Familiarity with modern collaboration tools (Slack, Notion, Linear) • Experience working in a fully remote or distributed team