← Back to all jobs
Slack logo

Staff Machine Learning Engineer, Product

Slack

🌎 Remote — US (PST)Full-timeData Science$217K – $247K /yr
Apply with RemoteHire24Posted 20 days ago

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

Job description

Slack is hiring a Staff Machine Learning Engineer, Product to join our fully remote team in the United States. As a Staff Machine Learning Engineer, Product, 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: • Analyze large datasets to surface actionable insights • Maintain data pipelines and data quality • Partner with stakeholders to define metrics • Build and validate models and dashboards • Communicate findings to technical and non-technical audiences What we offer: • Comprehensive medical, dental, and vision coverage • Flexible working hours across US time zones • Paid parental leave • 401(k) retirement plan with company match • 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. Slack 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 • Experience with data visualization tools • Strong SQL and Python (or R) • Familiarity with cloud data warehouses Nice to have: • A growth mindset and eagerness to keep learning • A track record of taking ownership and shipping independently