Principal Machine Learning Engineer, Risk

GitLab 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 full-time, work-from-home role open to candidates across the US (Remote — US (PST)). 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 • Analyze large datasets to surface actionable insights • Maintain data pipelines and data quality • Build and validate models and dashboards • Communicate findings to technical and non-technical audiences What we offer: • 401(k) retirement plan with company match • 100% remote, work-from-anywhere-in-the-US culture • Generous paid time off and company holidays • Comprehensive medical, dental, and vision coverage • 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. GitLab 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 • Experience with data visualization tools • Strong SQL and Python (or R) • Understanding of statistics and experimentation • Familiarity with cloud data warehouses Nice to have: • Experience working in a fully remote or distributed team • Familiarity with modern collaboration tools (Slack, Notion, Linear)