Job Description
📋 Description Build and own underwriting infrastructure powering ML models. Make training reliable, reproducible, scalable as data grows. Develop API layer for real-time quotes in seconds. Own latency, reliability, and scalability of the serving path. Accelerate data science iteration with tooling. Remove friction from ideas to production-ready models. 🎯 Requirements Strong track record building ML or data infra in production at scale. Proficiency in Python, with Spark, Databricks or equivalent. Experience with model training pipelines and/or low-latency serving. Experience building tooling for experimentation and backtesting. Ability to own systems end-to-end, set standards, and monitor/on-call. Genuine interest in modeling, not only the infrastructure. 🎁 Benefits High ownership from day one. Work on a mission to improve healthcare access. Opportunity for growth and expanded scope. Apply AI to meaningful healthcare problems. Fast-paced, collaborative team environment.
