Senior ML Engineer: AI-Native Claims & LLM Solutions

EvolutionIQ; United States; Remote; USD 180,000 - 225,000; Full time

Benefits offered by this job

401K Match

Paid time off

Annual incentive bonus

Health insurance

Adoption assistance

Tuition reimbursement

Wellness programs

Stock purchase plan

Employee resource groups

Job summary

CCC Intelligent Solutions is seeking a Senior Machine Learning Engineer to own models and evaluations end to end for our auto casualty AI products. You’ll build and validate ML and hybrid LLM models on real claims data, translating results into product decisions within a small, senior engineering group.

You’ll work with retrieval and embeddings, design evaluations with data labelers and SMEs, and measure ROI to inform a fast-moving roadmap.

Qualifications

• Typically 5+ years of experience in ML/DS roles.
• Strong foundation in statistics and experiment design.
• Strong Python and SQL; productionizing models and measuring performance.
• Experience with statistical ML and LLM-based approaches (RAG, embeddings, vector search) including evaluating LLM outputs.
• Experience using AI-assisted tools.

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

Skills

Python

SQL

Statistics

Experiment design

LLM evaluation

Production ML

RAG

Embeddings

Job description

CCC Intelligent Solutions is seeking a Senior Machine Learning Engineer to own models and evaluations end to end for our auto casualty AI products. You’ll build and validate ML and hybrid LLM models on real claims data, translating results into product decisions within a small, senior engineering group.

You’ll work with retrieval and embeddings, design evaluations with data labelers and SMEs, and measure ROI to inform a fast-moving roadmap.