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Senior Machine Learning Engineer

evolutioniq • United States
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AI Summary

Build and deploy production ML models for insurance claims forecasting and NLP at EvolutionIQ. Perform exploratory data analysis, feature engineering, and scalable model development for structured and unstructured datasets. Requires 2+ years of ML/Data Science experience with Python, scikit-learn, and PyTorch/Keras.

Key Highlights
Senior ML Engineer role building production models for claims forecasting and NLP
2+ years ML/Data Science experience in scalable production environments
Deep exposure to sklearn, Keras/PyTorch, Python/Pandas/Jupyter
Base salary $190-225K plus bonus and RSUs
Open to sponsoring candidates in the U.S. needing visa transfer

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Key Responsibilities
Build ML models for production use
Perform in-depth exploratory data analysis to scope ML opportunities
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
Technical Skills Required
Python PyTorch scikit-learn

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Benefits & Perks
Medical, dental, and vision insurance
401k matching
Paid time off and sick leave
100% paid parental leave
Annual bonus and RSU equity plan
Professional development stipend

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Nice to Have
Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
Owned and deployed model-serving pipelines in production
Experience with advanced statistical modeling, especially probabilistic programming
Experience leveraging Claude Code and related tools

Job Description

About Us: 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. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026!

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Job Overview
Posted Nov 06, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Machine Learning
Company evolutioniq
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