Lead Machine Learning Engineer, Experimentation

Dropbox is hiring a Lead Machine Learning Engineer, Experimentation to join our fully remote team in the United States. As a Lead Machine Learning Engineer, Experimentation, you'll turn data into insights and intelligent products. This is a part-time, work-from-home role open to candidates across the US (Remote — US (EST)). 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 • Maintain data pipelines and data quality • Partner with stakeholders to define metrics • Build and validate models and dashboards • Analyze large datasets to surface actionable insights What we offer: • Paid parental leave • Generous paid time off and company holidays • Home office and wellness stipends • Comprehensive medical, dental, and vision coverage • 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. Dropbox 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 • Understanding of statistics and experimentation • Experience with data visualization tools • Familiarity with cloud data warehouses • Strong SQL and Python (or R) Nice to have: • Familiarity with modern collaboration tools (Slack, Notion, Linear) • Experience in a fast-paced, high-growth environment