Senior Machine Learning (ML) Engineer (AI Insurtech)
Machine LearningData & AI
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Quick Summary
Requirements Summary
2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments. You have deep exposure to data science & ML tech stacks (sklearn,
Technical Tools
Machine LearningData & AI
- Build ML models for production use
- Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
- 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
- Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets
Requirements
~1 min read- Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
- Owned and deployed, and maintained model-serving pipelines in production
- Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns
- Experience with advanced statistical modeling, especially probabilistic programming
- Ambitious, collaborative, and empathetic values
- A work style that is open to giving and receiving critical feedback and collaborating effectively across teams
What We Offer
~1 min read✓Compensation: The base salary range is $190-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
✓Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
✓Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
✓Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
✓Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
✓Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
Location & Eligibility
Where is the job
New York, United States
Remote within one country
Who can apply
US
About this job
- Pay per year
- $190,000–$225,000 a year
- 10% below the $231,500 median for Machine Learning jobs on Jobera (147 salaries).
- Who can apply
- United States
- Posted
- 89 days ago
Listing Details
- Posted
- August 5, 2026
- First seen
- August 5, 2026
- Last seen
- November 2, 2026
Posting Health
- Days active
- 88
- Repost count
- 1
- Trust Level
- 49%
- Scored at
- November 2, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
EvolutionIQ is an AI-powered claims guidance platform for the insurance industry, designed to improve claims processing, reduce costs, and help injured individuals recover faster.
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