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Senior Machine Learning (ML) Engineer (AI Insurtech)

1 month, 2 weeks ago
United States
Full-time
Senior
Machine Learning Engineer
Data Science and Analytics
Apache Spark Dagster GCP Jupyter Keras Kubernetes Machine Learning NLP Pandas Python PyTorch Scikit-learn Terraform Vertex AI
Apply Now
EvolutionIQ

EvolutionIQ

EvolutionIQ: AI-powered claims guidance system for insurers, accelerating recovery and enhancing efficiency.

Internet Software & Services
51-250
Founded 2019
$33M raised
View All Jobs 3

Description

  • Build ML models for production use.
  • Perform exploratory data analysis to identify ML opportunities, data issues, and modeling approaches.
  • Suggest and implement new features to improve model performance and business logic.
  • Write and review production-quality pull requests daily.
  • Translate client business problems into machine learning problems.
  • Build scalable models for claims time-series forecasting and NLP text understanding.
  • Work with large-scale structured and unstructured datasets to support business needs.

Requirements

  • 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments.
  • Strong experience with data science and ML stacks such as sklearn, Keras or PyTorch, and tuning frameworks.
  • Proficiency in Python, Pandas, and Jupyter.
  • Excellent written and verbal communication skills across technical and non-technical audiences.
  • Team-oriented and solutions-focused mindset.
  • Experience using Claude Code and related tools is a strong plus.
  • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, or Kubernetes is preferred.
  • Experience owning, deploying, and maintaining model-serving pipelines in production is preferred.
  • Ability to write clean, efficient code with unit tests and functional design patterns is preferred.
  • Experience with advanced statistical modeling, especially probabilistic programming, is preferred.

Benefits

  • Base salary of $190K-$225K, depending on background and experience.
  • Annual bonus plan and company equity (RSUs).
  • Medical, dental, vision, disability, life insurance, AD&D, and 401(k) matching.
  • Additional family, wellness, and pet benefits.
  • Paid time off and sick leave.
  • 100% paid parental leave: 16 weeks for primary caregivers and 12 weeks for secondary caregivers, plus a flexible return-to-work schedule for new parents.
  • $1,000 per year for professional development and tuition reimbursement.
  • Monthly technology stipend, catered lunches, happy hours, and pet-friendly office space.
  • Visa transfer sponsorship for eligible candidates currently in the U.S.

Interested in this position?

Apply directly on the company website

Apply Now

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