Senior ML Engineer: AI for Auto Claims & Decisions

CCC Intelligent Solutions; Oregon; Hybrid; USD 180,000 - 225,000; Full time

Benefits offered by this job

401K Match

Paid time off

Annual Incentive Plan PerformanceBonus

Comprehensive health insurance

Adoption Assistance

Tuition Reimbursement

Wellness Programs

Stock Purchase Plan options

Employee Resource Groups

Job summary

CCC Intelligent Solutions in the United States is hiring a Senior Machine Learning Engineer to own models and evaluations end to end, turning results into product decisions. You’ll join a growing, senior engineering group building AI-native products for auto casualty, focusing on medical bills, claims decision support, and the agentic rules platform.

Most products run on large language models, so you’ll blend statistical modeling with LLM evaluation and ship production code for end-to-end

Qualifications

• 5+ years of ML, data science, or quantitative engineering experience.
• Strong foundation in statistics and experiment design.
• Proficiency in Python and SQL; track record of production ML.
• Experience with LLMs, retrieval, embeddings, and evaluation.

Responsibilities

• Build and ship statistical, ML, and hybrid LLM models on real claims data.
• Design evaluations and gold datasets with data labelers and SME input.
• Measure ROI and explain results to product, sales, and customers.

Skills

ML experience

Python

SQL

RAG & embeddings

Model evaluation

Experiment design

Education

Bachelor's degree in a quantitative field

Advanced degree preferred

Tools

Python

SQL

Vector search

Job description

CCC Intelligent Solutions in the United States is hiring a Senior Machine Learning Engineer to own models and evaluations end to end, turning results into product decisions. You’ll join a growing, senior engineering group building AI-native products for auto casualty, focusing on medical bills, claims decision support, and the agentic rules platform.

Most products run on large language models, so you’ll blend statistical modeling with LLM evaluation and ship production code for end-to-end