Junior Machine Learning Engineer, Forecasting

Dropbox is hiring a Junior Machine Learning Engineer, Forecasting to join our fully remote team in the United States. As a Junior Machine Learning Engineer, Forecasting, 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 (East 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: • Partner with stakeholders to define metrics • Communicate findings to technical and non-technical audiences • Build and validate models and dashboards • Analyze large datasets to surface actionable insights • Maintain data pipelines and data quality What we offer: • Flexible working hours across US time zones • Generous paid time off and company holidays • Annual learning and professional development budget • Competitive salary and meaningful equity • 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. Dropbox is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Minimum qualifications: • 0–2 years of experience or equivalent training • Familiarity with cloud data warehouses • Understanding of statistics and experimentation • Strong SQL and Python (or R) • Clear communication skills Nice to have: • Experience working in a fully remote or distributed team • Experience in a fast-paced, high-growth environment