Junior Machine Learning Engineer, Risk

Spotify is hiring a Junior Machine Learning Engineer, Risk to join our fully remote team in the United States. As a Junior 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: • Partner with stakeholders to define metrics • Maintain data pipelines and data quality • Communicate findings to technical and non-technical audiences • Build and validate models and dashboards • Analyze large datasets to surface actionable insights What we offer: • Competitive salary and meaningful equity • 100% remote, work-from-anywhere-in-the-US culture • Paid parental leave • 401(k) retirement plan with company match • 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. Spotify 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 • Experience with data visualization tools • Clear communication skills • Strong SQL and Python (or R) • Familiarity with cloud data warehouses Nice to have: • Familiarity with modern collaboration tools (Slack, Notion, Linear) • Experience working in a fully remote or distributed team