Senior Machine Learning Engineer (Casualty / Claims Intelligence)

CCC Intelligent Solutions; Chicago (IL); Presencial; USD 180.000 - 225.000; Tempo integral

Benefícios oferecidos por esta vaga

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

Resumo da vaga

CCC Intelligent Solutions Inc. in Chicago seeks a Senior Machine Learning Engineer to own models and evaluations end to end for auto casualty AI products.

You'll work in a small, senior group building AI-native solutions for medical bills, claims decision support, and rules tooling, using real claims data. You'll combine statistical modeling with LLM evaluation, shipping production code and measuring impact, with a focus on building impactful AI to accelerate insurance workflows.

Qualificações

• Strong Python and SQL, and a track record of taking models to production and measuring performance.
• Excellent foundation in statistics, probability, experiment design.
• Experience with ML and LLM-based approaches (RAG, embeddings) and evaluating outputs.

Responsabilidades

• 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, and run them continuously as product changes.
• Measure impact through experiments, baselines, ROI analyses, and clearly present results to product, sales, and customers.

Conhecimentos

Python

SQL

Statistics

Experiment design

ML & LLM

Formação

Master's or PhD in a relevant field

Ferramentas

RAG

Embeddings

Vector search

Descrição da vaga

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

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.

Benefits

• 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

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