Staff Machine Learning Engineer, Experimentation

DoorDash is hiring a Staff Machine Learning Engineer, Experimentation to join our fully remote team in the United States. As a Staff Machine Learning Engineer, Experimentation, 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 (PST)). 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 • Communicate findings to technical and non-technical audiences • Maintain data pipelines and data quality • Analyze large datasets to surface actionable insights • Partner with stakeholders to define metrics What we offer: • Flexible working hours across US time zones • Generous paid time off and company holidays • Paid parental leave • 401(k) retirement plan with company match • Home office and wellness stipends 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: • 7+ years of experience, including leading teams or projects • Clear communication skills • Understanding of statistics and experimentation • Experience with data visualization tools • Familiarity with cloud data warehouses Nice to have: • A track record of taking ownership and shipping independently • Comfort communicating clearly and proactively in writing