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Machine Learning Engineer

Team lunches in office💼 Full-time💰 $180,000–$180,000🗓 2026-09-28

Core

Build and own the ML infrastructure powering underwriting models and real-time quoting for a health insurance platform.

Role type

Senior ML Infrastructure Engineer

Builds

Production ML infrastructure for underwriting and real-time quoting

Domain

Health Insurance / Machine Learning

Deliverable

production ML models

Required skills

Python, large-scale data processing (Spark/Databricks), model training pipelines, low-latency model serving, end-to-end system ownership, MLOps tooling

Preferred skills

Healthcare/insurance domain experience, feature stores, experimentation platforms

Technologies

Python, Spark, Databricks, MLflow

Responsibilities

Build reliable, scalable training infrastructure for underwriting models; own the API layer for real-time quote generation; create tooling to accelerate data science iteration and model validation

Seniority

Senior, hands-on IC

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