← Back to all jobs
Lead Machine Learning Engineer, Risk
Microsoft
🌎 Remote — US (CST)Full-timeData Science$182K – $222K /yr
Apply with RemoteHire24 →Posted 19 days ago
You apply directly through RemoteHire24. We review your application and contact shortlisted candidates by phone, WhatsApp, or Telegram.
Job description
Microsoft is hiring a Lead Machine Learning Engineer, Risk to join our fully remote team in the United States. As a Lead Machine Learning Engineer, Risk, 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 (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:
• Communicate findings to technical and non-technical audiences
• Maintain data pipelines and data quality
• Analyze large datasets to surface actionable insights
• Partner with stakeholders to define metrics
• Build and validate models and dashboards
What we offer:
• Paid parental leave
• Home office and wellness stipends
• Annual learning and professional development budget
• Generous paid time off and company holidays
• Competitive salary and meaningful equity
How we work
We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career.
Microsoft 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
• Strong SQL and Python (or R)
• Experience with data visualization tools
• Familiarity with cloud data warehouses
Nice to have:
• Comfort communicating clearly and proactively in writing
• Familiarity with modern collaboration tools (Slack, Notion, Linear)