Senior Machine Learning Engineer, Data & Intelligence Products

📋 Description

• Design, train, and validate predictive and statistical models for healthcare data.
• Frame business questions as modeling problems; define metrics and quantify uncertainty.
• Engineer features across time-series, geospatial, and claims data to improve coverage.
• Own full model lifecycle from exploration to deployment and monitoring.
• Partner with product managers to translate problems into model-backed features and roadmap.
• Provide technical leadership on ML methods across the Data organization.

🎯 Requirements

• 6+ years of ML experience shipping models to production for customers.
• Strong foundations in statistics/ML; regression, classification, forecasting, clustering; Python.
• Experience with agentic tools (Claude Code, Codex) for ML development.
• Ability to translate technical results for non-technical product and business audiences.
• Hands-on with messy real-world datasets: time-series, geospatial, demographic.
• Proficient with SQL in modern cloud data warehouses; collaborate with data engineers.

🎁 Benefits

• Ground floor opportunity: join a high-growth startup backed by top investors.
• Learning Budget: reimbursements for relevant learning opportunities.
• Remote work: full-remote flexibility for US employees; work-from-home stipend.
• Flexible PTO: generous time off and flexible hours.
• Paid Health, Dental, and Vision Plans: 100% paid for employees and 75% for dependents.
• Home Office Stipend: $1,000 for remote office equipment and WiFi reimbursement.
• Optional Team Retreats: in-person gatherings several times per year.
• Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.