Senior Machine Learning Engineer (Casualty / Claims Intelligence)

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

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.