Senior Machine Learning (ML) Engineer (AI Insurtech) at EvolutionIQ

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Insurtech, Insurance, AIIndustries

Requirements

ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments
Deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling
Proficiency in Python/Pandas/Jupyter and striving for scalable technical concepts and solutions
Team player who is solutions-oriented
Crisp written and verbal communication skills and ability to correspond effectively between technical and non-technical audiences

Responsibilities

Build ML/LLM-driven features for claim guidance product, including robust extraction of key information from complex medical documents and human-in-the-loop workflows
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

Skills

Key technologies and capabilities for this role

Machine LearningLLMNLPExploratory Data AnalysisModel TrainingModel EvaluationTime Series ForecastingProduction MLPythonScalable Systems

Questions & Answers

Common questions about this position

What experience level is required for this Senior ML Engineer role?

The role requires 3+ years of experience as an ML Engineer or Data Scientist, especially in highly scalable production environments.

What technical skills are essential for this position?

Essential skills include deep exposure to data science and ML tech stacks like sklearn, Keras/PyTorch, tuning frameworks, data analysis and modeling, and proficiency in Python/Pandas/Jupyter.

What is the company culture like at EvolutionIQ?

The team is the #1 priority, and the company has been named one of Inc.’s Best Workplaces 3 years in a row. They value ambitious, collaborative, and empathetic team players who are open to giving and receiving critical feedback.

Is this a remote position or what is the location policy?

This information is not specified in the job description.

What makes a strong candidate for this role?

Strong candidates are ML experts who thrive on first principles problems, demonstrate high ownership, love innovation and challenging unsolved problems, have crisp communication skills, and are solutions-oriented team players.

EvolutionIQ

AI software for insurance claims handling

About EvolutionIQ

EvolutionIQ creates software for the insurance industry that enhances the claims handling process using artificial intelligence. The software helps insurance examiners and adjusters identify the right claims to focus on, improving efficiency and accuracy. By understanding bodily injuries like a medical expert, it quickly assigns complex claims to specialized teams, leading to faster processing and better outcomes for claimants. The goal of EvolutionIQ is to streamline claims handling, ultimately increasing the number of successful returns to work for claimants.

New York City, New YorkHeadquarters

2019Year Founded

$58.7MTotal Funding

LATE_VCCompany Stage

Enterprise Software, AI & Machine Learning, Financial ServicesIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

401(k) Company Match

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Hybrid Work Options

Stock Options

Company Equity

Professional Development Budget

Home Office Stipend

Risks

Integration with CCC's systems may face challenges, delaying acquisition benefits.

Acquisition could shift company culture, causing internal disruptions or turnover.

AI reliance may expose EvolutionIQ to biases, leading to unfair claim outcomes.

Differentiation

EvolutionIQ uses AI to guide claims examiners, improving efficiency and accuracy.

The platform predicts claim trajectories earlier, enhancing Return to Work outcomes.

MedHub integrates medical data synthesis, streamlining claims decision-making.

Upsides

Acquisition by CCC Intelligent Solutions validates EvolutionIQ's AI capabilities in claims management.

Partnership with Lincoln Financial enhances disability claims processes and customer satisfaction.

Recent $10 million equity investment supports expansion and product development.

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