Machine Learning Engineer, Product

GitHub is hiring a Machine Learning Engineer, Product to join our fully remote team in the United States. As a Machine Learning Engineer, Product, 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 (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: • Communicate findings to technical and non-technical audiences • Maintain data pipelines and data quality • Partner with stakeholders to define metrics • Analyze large datasets to surface actionable insights • Build and validate models and dashboards What we offer: • Flexible working hours across US time zones • 401(k) retirement plan with company match • Paid parental leave • Annual learning and professional development budget • Comprehensive medical, dental, and vision coverage How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. GitHub is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Minimum qualifications: • 2+ years of relevant experience • Experience with data visualization tools • Familiarity with cloud data warehouses • Strong SQL and Python (or R) • Understanding of statistics and experimentation Nice to have: • Experience in a fast-paced, high-growth environment • A growth mindset and eagerness to keep learning