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Cccis

Senior Machine Learning Engineer (Casualty / Claims Intelligence)

Chicago (Green St), IL

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hirly's read of this role

Role family
Data & ML
Seniority
Senior
Stated salary
$180,000 – $225,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
3 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

What success looks like:

In your first month , you've run your first evaluation on real data and shared what you found.

By six months , you've shipped a model or evaluation to production, and a product decision was made on evidence you produced.

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

Nice to have

Causal inference, survival analysis, or calibration methods applied to business decisions

Experience fine-tuning models for domain-specific tasks

Interview Policy & Privacy Notice:

A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE .

About CCC's Commitment to Employees:

CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.

At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.

CCC offers competitive compensation and benefits to support you and your families, including:

401K Match

Paid time off

Annual Incentive Plan Performance Bonus

Comprehensive health insurance

Adoption Assistance

Tuition Reimbursement

Wellness Programs

Stock Purchase Plan options

Employee Resource Groups

For more information about our benefits, please check out our careers site .

Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

If you require reasonable accommodation to complete a job application, please contact (800) 621-8070.

Original posting on Cccis's site ↗

Listed on hirly, a job board. hirly is not the employer: Cccis is hiring for this role.

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