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

Chicago, IL or Remote

Actively hiring, first seen by us today

Pay: $180,000–225,000/yearAnnual period assumed — pay source
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. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities:
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Work setting: Remote — work setting source
Listed location: Chicago, IL or Remote
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Employment: Not stated

What you’ll work on

Full posting

You'll build models on real claims data, design the evaluations that compare our AI with expert decisions, and measure the impact customers see.
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

From the employer’s posting

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. 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

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 you’ll bring

All qualifications

Core experience

Strong Python and SQL, and a track record of taking models to production and measuring how they perform
Experience fine-tuning models for domain-specific tasks
Hands-on experience with both statistical ML and LLM-based approaches (RAG, embeddings, vector search), including evaluating LLM outputs

Qualification wording

Strong Python and SQL, and a track record of taking models to production and measuring how they perform

Experience fine-tuning models for domain-specific tasks

Hands-on experience with both statistical ML and LLM-based approaches (RAG, embeddings, vector search), including evaluating LLM outputs

About EvolutionIQ

CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works.

In the employer’s words · Read in context

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Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 4, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$180K–$225K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 55.

At EvolutionIQ, jobs usually come down by about day 3.

From 10,040 similar postings that came down, and 5 of EvolutionIQ’s. Coming down is not always a hire.

EvolutionIQ is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace
20% of open jobs were reposted

Hiring record

See how this role fits your experience

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Where the posting names them

- 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

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original 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.

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

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