← Back to all jobs
Stripe logo

Staff Machine Learning Engineer, Growth

Stripe

🌎 Remote — US (CST)Part-timeData Science$217K – $242K /yr
Apply with RemoteHire24Posted 19 days ago

You apply directly through RemoteHire24. We review your application and contact shortlisted candidates by phone, WhatsApp, or Telegram.

Job description

Stripe is hiring a Staff Machine Learning Engineer, Growth to join our fully remote team in the United States. As a Staff Machine Learning Engineer, Growth, you'll turn data into insights and intelligent products. This is a part-time, 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: • Analyze large datasets to surface actionable insights • Build and validate models and dashboards • Communicate findings to technical and non-technical audiences • Partner with stakeholders to define metrics • Maintain data pipelines and data quality What we offer: • Home office and wellness stipends • Generous paid time off and company holidays • Competitive salary and meaningful equity • 100% remote, work-from-anywhere-in-the-US culture • 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. Stripe is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Requirements

Minimum qualifications: • 7+ years of experience, including leading teams or projects • Understanding of statistics and experimentation • Clear communication skills • Familiarity with cloud data warehouses • Strong SQL and Python (or R) Nice to have: • Comfort communicating clearly and proactively in writing • Experience in a fast-paced, high-growth environment