CareerPlan

Senior Machine Learning Engineer (Casualty / Claims Intelligence)

Chicago (Green St), IL, USFull-time$180k–$225k2026-11-02 → 2026-11-10

Core

Build and ship statistical, ML, and hybrid LLM models on real claims data to support medical bill handling and claims decision-making in the auto casualty business.

Role type

Senior Machine Learning Engineer (Casualty/Claims Intelligence)

Builds

AI-native products for auto casualty claims, including medical bill processing and claims decision support tools.

Domain

Insurance / Auto Casualty Claims

Deliverable

production ML models

Required skills

Python, SQL, statistical modeling, LLM evaluation, RAG, embeddings, vector search, experiment design, ROI analysis

Preferred skills

Causal inference, survival analysis, model fine-tuning

Technologies

Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Search

Responsibilities

Build and ship statistical, ML, and hybrid LLM models on real claims data; Design evaluations and gold datasets with data labelers and subject matter experts; Measure impact through experiment design, baselines, and ROI analysis

Seniority

Senior, hands-on IC