Senior Machine Learning Engineer (Casualty / Claims Intelligence)

Location: Chicago (Green St), IL

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey.

Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.

The Role

• 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:
• Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently.
• Claims decision support: products that help claims professionals make better, faster decisions on injury claims.
• Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on.

Your impact

You'll show, with evidence, whether our AI works and whether it's worth it. You'll build models on real claims data, design the evaluations that compare our AI with expert decisions, and measure the impact customers see. Most of our products run on large language models, so you'll combine statistical modeling with LLM evaluation and write the production code to ship both.

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.

Salary range is

$180,000 - 225,000

This position is bonus eligible.

Key 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