← Back to all jobs
Staff Machine Learning Engineer, Experimentation
Zapier
🌎 Remote — Anywhere in the USFull-timeData Science$194K – $214K /yr
Apply with RemoteHire24 →Posted 2 months ago
You apply directly through RemoteHire24. We review your application and contact shortlisted candidates by phone, WhatsApp, or Telegram.
Job description
Zapier is hiring a Staff Machine Learning Engineer, Experimentation to join our fully remote team in the United States. As a Staff Machine Learning Engineer, Experimentation, 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 — Anywhere in the US).
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:
• Build and validate models and dashboards
• Analyze large datasets to surface actionable insights
• Communicate findings to technical and non-technical audiences
• Partner with stakeholders to define metrics
• Maintain data pipelines and data quality
What we offer:
• Competitive salary and meaningful equity
• Flexible working hours across US time zones
• 401(k) retirement plan with company match
• Generous paid time off and company holidays
• 100% remote, work-from-anywhere-in-the-US culture
How we work
We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career.
Zapier 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
• Familiarity with cloud data warehouses
• Experience with data visualization tools
• Strong SQL and Python (or R)
Nice to have:
• Comfort communicating clearly and proactively in writing
• Experience working in a fully remote or distributed team