Senior Machine Learning Engineer, Risk

Dropbox 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 full-time, work-from-home role open to candidates across the US (Remote — USA). 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 • Analyze large datasets to surface actionable insights • Maintain data pipelines and data quality • Partner with stakeholders to define metrics • Build and validate models and dashboards What we offer: • Generous paid time off and company holidays • Flexible working hours across US time zones • Comprehensive medical, dental, and vision coverage • Annual learning and professional development budget • 100% remote, work-from-anywhere-in-the-US culture How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Dropbox 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 • Experience with data visualization tools • Strong SQL and Python (or R) • Clear communication skills • Understanding of statistics and experimentation Nice to have: • Experience in a fast-paced, high-growth environment • Experience working in a fully remote or distributed team