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# Senior Machine Learning (ML) Engineer (CCC Casualty / Claims Intelligence)

- **Company:** EvolutionIQ
- **Location:** Philadelphia, MS, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Search Technologies, SQL Databases, Retrieval-Augmented Generation, Large Language Models
- **Published:** November 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=393d3eade974403a

## About the Role

* 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

Nice to have

 * Causal inference, survival analysis, or calibration methods applied to business decisions
 * Experience fine-tuning models for domain-specific tasks

## Description

As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on, * 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