Senior Machine Learning Engineer

About the Company

EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability.

Responsibilities

• Build ML models for production use
• Perform in-depth exploratory data analysis to scope ML opportunities and identify potential issues
• Suggest and implement new features to improve model performance and business logic
• Write and review production-quality PRs daily
• Translate client business problems into ML problems
• Build scalable machine learning models for claim time series forecasting and NLP text understanding

Requirements

• 2+ years of experience as a Machine Learning Engineer or Data Scientist
• Deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks)
• Proficiency in Python, Pandas, and Jupyter
• Excellent written and verbal communication skills
• Experience leveraging Claude Code and related tools is a strong plus

Preferred Qualifications

• Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, or Kubernetes
• Experience owning, deploying, and maintaining model-serving pipelines in production
• Expert skills in writing clean, efficient code with unit tests and functional design patterns
• Experience with advanced statistical modeling and probabilistic programming

Benefits

• Base salary range of $190k-$225k plus annual bonus and company equity (RSUs)
• Medical, dental, vision, and disability insurance
• 401k matching
• 100% paid parental leave
• Professional development stipend of $1,000/year and tuition reimbursement
• Catered lunches and monthly technology stipend