Senior Machine Learning Engineer – AI Insurtech

🕒 August 5

🗽 New York – Remote

🗽 New York – Remote

💵 $190k - $225k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 8%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EvolutionIQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

EvolutionIQ is a cutting-edge technology company specializing in AI-powered claims guidance to improve the efficiency of insurance claims processing. The company focuses on simplifying complex claims data into actionable insights, enabling claims professionals to provide higher quality service with less effort and more personalized support. EvolutionIQ's solutions are specifically designed to address challenges in areas such as Group & Individual Disability, Workers' Compensation, and Income Protection, enhancing claimant experience, reducing costs, and optimizing process efficiency. The company prides itself on harnessing human-centric AI to drive better outcomes in claims management.

📋 Description

• Build ML models for production use • Perform in-depth exploratory data analysis to scope ML opportunities, identify data issues, and support model design, training, and evaluation strategies • Suggest and implement 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 machine learning models for claim time series forecasting and NLP text understanding • Continue developing data and machine learning expertise while solving business problems involving large-scale structured and unstructured datasets

🎯 Requirements

• 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments • Deep exposure to data science and ML technology stacks, including sklearn, Keras/PyTorch, and tuning frameworks • Experience with data analysis and modeling • Proficiency with Python, Pandas, and Jupyter • Ability to develop scalable technical concepts and solutions • Excellent written and verbal communication skills for technical and non-technical audiences • Team-oriented and solutions-oriented approach • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, or Kubernetes is advantageous • Experience owning, deploying, and maintaining model-serving pipelines in production is advantageous • Expert ability to write clean, efficient, understandable code with unit tests and functional design patterns is advantageous • Experience with advanced statistical modeling, especially probabilistic programming, is advantageous • Experience leveraging Claude Code and related tools is a strong plus

🏖️ Benefits

• Annual bonus plan • Company equity plan (RSUs) • Medical, dental, and vision insurance • Short- and long-term disability insurance • Life insurance and AD&D • 401(k) matching • 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 • Flexible schedule for new parents returning to work • Catered lunches • Happy hours • Pet-friendly spaces • Monthly technology stipend • $1,000/year for professional development • Tuition reimbursement • Visa-transfer sponsorship for eligible candidates currently in the U.S.

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