EvolutionIQ

4 open remote positions

EvolutionIQ builds AI-driven software that makes insurance claims handling more accurate, fair, and efficient. We are a rapidly growing, team-first company recognized as a top workplace for three consecutive years.

Salary Distribution 4 of 4 jobs

Parental Leave Distribution

Maternity Leave 4 jobs

16w
16w
16w

Paternity Leave 4 jobs

12w
12w
12w

Benefits Overview 4 of 4 jobs

401(k) (4) Dental (4) Medical (4) Vision (4) Disability (2) Life Insurance (2) PTO (2) Parental Leave (2) Catered Lunch (1) Paid Parental Leave (1) Pet Friendly (1) Professional Development (1) Technology Stipend (1) Tuition Reimbursement (1)

Open Positions

Senior Machine Learning (ML) Engineer (AI Insurtech)

$190,000–$225,000/yr
US 16w maternity 12w paternity

  • Build ML models for production use and perform in-depth exploratory data analysis to scope opportunities.
  • Suggest and implement new features to improve model performance and business logic.
  • Translate client business problems into ML problems and build scalable models for claim time series forecasting and NLP.

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Senior Software Engineer (Insurance Tech)

$215,000–$230,000/yr
US 16w maternity 12w paternity

  • You will build and enhance enterprise SaaS applications across EvolutionIQ and CCC products, spending most of your time writing production code.
  • You will modernize existing systems by working through complex legacy platforms while contributing to new product development and scalable backend services.
  • You will leverage AI-assisted and agentic engineering tools to accelerate development, improve engineering productivity, and rapidly prototype new ideas.

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Staff Software Engineer (Insurance Tech)

$245,000–$270,000/yr
US 16w maternity 12w paternity

  • Architect systems and write production code, bringing AI-native products into CCC's auto casualty business.
  • Dig into complex legacy systems, decide what to rebuild, replace, or keep, and drive that work hands-on.
  • Set engineering standards and best practices in partnership with Product, Data Science, and Data Engineering.

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