Remote opportunity at
EvolutionIQSenior Machine Learning (ML) Engineer (CCC Casualty / Claims Intelligence)
CCC Intelligent Solutions Inc. operates a cloud platform serving the insurance ecosystem by providing artificial intelligence technology for claims and repairs. The organization is currently expanding…
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About This Role
CCC Intelligent Solutions Inc. operates a cloud platform serving the insurance ecosystem by providing artificial intelligence technology for claims and repairs. The organization is currently expanding an engineering division dedicated to creating AI-native products tailored for auto casualty and injury claims. This remote Senior Machine Learning Engineer position involves overseeing models and evaluations completely within a specific problem domain, translating data outcomes directly into product decisions. This engineering unit consists…
Job Description
CCC Intelligent Solutions Inc. operates a cloud platform serving the insurance ecosystem by providing artificial intelligence technology for claims and repairs. The organization is currently expanding an engineering division dedicated to creating AI-native products tailored for auto casualty and injury claims. This remote Senior Machine Learning Engineer position involves overseeing models and evaluations completely within a specific problem domain, translating data outcomes directly into product decisions.
This engineering unit consists of a small, experienced, and rapidly growing team focusing on medical bill processing, claims decision support, and an agentic rules platform. The person in this role will build and deploy statistical, machine learning, and hybrid large language model systems using real claims data. Responsibilities include designing evaluation benchmarks, measuring customer impact, and collaborating closely with data labelers, subject matter experts, and product teams.
Responsibilities
- Build and launch statistical, machine learning, and hybrid large language models using real claims data, incorporating retrieval and embeddings.
- Design and continuously run evaluations and gold datasets alongside data labelers and subject matter experts.
- Measure product impact through experiment design, baselines, and return on investment analysis, communicating results to product teams, sales, and customers.
Requirements
- Have approximately five or more years of professional experience working in machine learning, data science, or quantitative engineering positions.
- Possess a strong quantitative background in statistics, probability, and experiment design derived from a degree, research, or equivalent experience.
- Demonstrate strong proficiency in Python and SQL with a proven track record of bringing models to production and tracking performance.
- Bring hands-on experience utilizing both statistical machine learning and large language model approaches such as retrieval-augmented generation, embeddings, and vector search, along with output evaluation.
- Show practical experience operating rapidly with artificial intelligence-assisted tools.
- Participate in a required video interview that is transcribed and reviewed by the hiring team, adhering to the policy against using unauthorized generative artificial intelligence or automated assistance.
Qualifications
- Apply causal inference, survival analysis, or calibration methods to business decisions.
- Gain experience fine-tuning models for domain-specific tasks.
Core Skills
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
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote status of this role?
This position is listed as remote.
What is the salary range for the Senior Machine Learning Engineer?
The salary range is between USD 180,000 and 225,000 per year, and the position is also eligible for bonuses.
What kind of experience is required to apply?
Applicants typically need five or more years of experience in data science, quantitative engineering, or machine learning roles, backed by a strong foundation in statistics, probability, and experiment design. Candidates must also have strong Python and SQL skills, practical experience with both statistical machine learning and large language models, and familiarity with AI-assisted tools.
Are there any special interview requirements?
Yes, a video interview is required for this position. The interviews are transcribed and reviewed by CCC and its recruiters, and candidates are generally prohibited from using generative AI or automated assistance during the interview process.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.