Staff Machine Learning Engineer, Risk

Uber is hiring a Staff Machine Learning Engineer, Risk to join our fully remote team in the United States. As a Staff Machine Learning Engineer, Risk, you'll turn data into insights and intelligent products. This is a freelance, 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: • Build and validate models and dashboards • Analyze large datasets to surface actionable insights • Maintain data pipelines and data quality • Partner with stakeholders to define metrics • Communicate findings to technical and non-technical audiences What we offer: • Home office and wellness stipends • 100% remote, work-from-anywhere-in-the-US culture • Paid parental leave • Competitive salary and meaningful equity • 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. Uber 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: • Comfort communicating clearly and proactively in writing • A track record of taking ownership and shipping independently