Senior Machine Learning Engineer (CCC Casualty / Claims Intelligence)

CCC Intelligent Solutions is hiring a Senior Machine Learning Engineer for its auto casualty business, which focuses on the injury side of auto claims. The role builds and evaluates statistical, machine learning, and LLM-based models on claims data, measures customer impact, and translates evidence into product decisions.

Responsibilities:

• Build and ship statistical, ML, and hybrid LLM models (including retrieval and embeddings) on real claims data
• Design evaluations and gold datasets with data labelers and subject matter experts, and run them continuously as the product changes
• Measure impact through experiment design, baselines, and ROI analysis, and explain the results clearly to product, sales, and customers

Requirements:

• Typically 5+ years of experience in machine learning, data science, or quantitative engineering roles
• A strong quantitative foundation (statistics, probability, experiment design) from a degree, research, or equivalent experience
• Strong Python and SQL, and a track record of taking models to production and measuring how they perform
• Hands-on experience with both statistical ML and LLM-based approaches (RAG, embeddings, vector search), including evaluating LLM outputs
• Real experience working faster with AI-assisted tools, with examples you can walk us through
• Causal inference, survival analysis, or calibration methods applied to business decisions
• Experience fine-tuning models for domain-specific tasks