Staff 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), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Insurtech, Insurance, AIIndustries

Requirements

ML Engineer / Data Scientist with 5+ years of experience, especially in highly scalable production environments, with a proven track record of quickly getting from idea to production
Deep exposure to data science & AI tech stacks (sklearn, Keras / PyTorch, LLM / gen AI frameworks, tuning frameworks, A/B experimentation), data analysis & modeling
Comfortable in Python/Pandas/Jupyter and switching seamlessly to production environments & pipelines, striving for scalable technical concepts and solutions
Team player who is solutions-oriented
Crisp written and verbal communication skills to correspond effectively between technical and non-technical audiences
2+ years of experience leading teams of 5+ ML engineers in high stakes production environments
Owned, deployed, and maintained model-serving pipelines in production
Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and following SWE best practices
Ability to translate cutting-edge research into production-grade solutions and turn the latest advancements in AI into scalable, high-impact systems
Experience translating state-of-the-art research papers into production code
Accustomed to collaborating with data labelers and SMEs
Experience building production agentic systems

Responsibilities

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
Work closely with product & engineering stakeholders to identify business opportunities and technical feasibility using ML/AI
Mentor and guide more junior MLEs across the organization to drive towards technical excellence in ML workflows and product deliveries
Build ML models for production use, write and review production-quality PRs daily
Translate client business problems into ML problems
Build scalable machine learning models for claim time series forecasting, NLP text understanding, and generative AI solutions
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 LearningExploratory Data AnalysisFeature EngineeringNLPTime Series ForecastingGenerative AIModel TrainingModel EvaluationProduction MLPython

Questions & Answers

Common questions about this position

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

The role requires 5+ years of experience as an ML Engineer or Data Scientist in highly scalable production environments, plus 2+ years leading teams of 5+ ML engineers.

What technical skills and tools are needed for this position?

Candidates need deep exposure to data science and AI tech stacks including sklearn, Keras/PyTorch, LLM/gen AI frameworks, tuning frameworks, A/B experimentation, Python/Pandas/Jupyter, and experience with production pipelines and model-serving.

What does the company culture emphasize at EvolutionIQ?

The team is the #1 priority, with a focus on hiring world-class talent to build and scale, and they have been named one of Inc.’s Best Workplaces for 3 years in a row.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this ML Engineer role?

A strong candidate is a seasoned ML expert with proven production experience, leadership in high-stakes teams, high ownership, innovation on unsolved problems, and excellent communication skills bridging technical and non-technical audiences.

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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