Principal Machine Learning Engineer, Experimentation

Google is hiring a Principal Machine Learning Engineer, Experimentation to join our fully remote team in the United States. As a Principal Machine Learning Engineer, Experimentation, you'll turn data into insights and intelligent products. This is a contract, work-from-home role open to candidates across the US (Remote — US (West 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 • Analyze large datasets to surface actionable insights • Build and validate models and dashboards • Maintain data pipelines and data quality • Communicate findings to technical and non-technical audiences What we offer: • 401(k) retirement plan with company match • Flexible working hours across US time zones • Home office and wellness stipends • Paid parental leave • Annual learning and professional development budget How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Google 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 • Experience with data visualization tools • Understanding of statistics and experimentation • Strong SQL and Python (or R) Nice to have: • Familiarity with modern collaboration tools (Slack, Notion, Linear) • A track record of taking ownership and shipping independently