Principal Machine Learning Engineer, Risk

Mailchimp is hiring a Principal Machine Learning Engineer, Risk to join our fully remote team in the United States. As a Principal Machine Learning Engineer, Risk, 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 (CST)). 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: • Maintain data pipelines and data quality • Build and validate models and dashboards • Partner with stakeholders to define metrics • Analyze large datasets to surface actionable insights • Communicate findings to technical and non-technical audiences What we offer: • Flexible working hours across US time zones • Competitive salary and meaningful equity • Comprehensive medical, dental, and vision coverage • Generous paid time off and company holidays • 401(k) retirement plan with company match How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Mailchimp 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 • Familiarity with cloud data warehouses • Strong SQL and Python (or R) • Clear communication skills • Experience with data visualization tools Nice to have: • A track record of taking ownership and shipping independently • Familiarity with modern collaboration tools (Slack, Notion, Linear)