Principal Machine Learning Engineer, Forecasting

Dropbox is hiring a Principal Machine Learning Engineer, Forecasting to join our fully remote team in the United States. As a Principal Machine Learning Engineer, Forecasting, 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). 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 • Build and validate models and dashboards • Analyze large datasets to surface actionable insights • Partner with stakeholders to define metrics What we offer: • Comprehensive medical, dental, and vision coverage • Competitive salary and meaningful equity • 401(k) retirement plan with company match • Home office and wellness stipends • Flexible working hours across US time zones 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 • Strong SQL and Python (or R) • Experience with data visualization tools • Familiarity with cloud data warehouses • Understanding of statistics and experimentation Nice to have: • Experience working in a fully remote or distributed team • Comfort communicating clearly and proactively in writing