Senior ML Engineer — AI for Auto Claims & LLMs

EvolutionIQ

Oregon

Hybrid

USD 180,000 - 225,000

Full time

2 days ago
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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 Inc. is seeking a Senior Machine Learning Engineer to own models and evaluations end to end for auto casualty and claims intelligence products. You will build ML and LLM-based solutions, run rigorous evaluations, and translate results into product decisions.

The team focuses on medical bills, claims decision support, and an agentic rules platform, with production-grade pipelines. You’ll work with real claims data, design experiments, and ship models and evaluation

Qualifications

  • 5+ years in ML/DS or quantitative engineering.
  • Strong foundation in statistics, probability, and experimental design.
  • Proficient in Python and SQL with production-model experience.
  • Experience with ML and LLM approaches (RAG, embeddings, vector search).
  • Ability to work with AI-assisted tools.

Responsibilities

  • Build and ship ML models and evaluation pipelines for claims data.
  • Design experiments, baselines, and ROI analyses for AI features.
  • Collaborate with product and data teams to deploy solutions.

Skills

Python
SQL
Production ML
LLM evaluation
RAG

Education

Bachelor's or higher in a quantitative field

Tools

Cloud platforms (AWS)
Vector databases
ML frameworks (PyTorch/TensorFlow)

Job description

CCC Intelligent Solutions Inc. is seeking a Senior Machine Learning Engineer to own models and evaluations end to end for auto casualty and claims intelligence products. You will build ML and LLM-based solutions, run rigorous evaluations, and translate results into product decisions.

The team focuses on medical bills, claims decision support, and an agentic rules platform, with production-grade pipelines. You’ll work with real claims data, design experiments, and ship models and evaluation

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