EvolutionIQ

Senior Machine Learning (ML) Engineer

New York, New York, United States

$140,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
InternshipJob Type
UnknownVisa
Artificial Intelligence, Data ScienceIndustries

Requirements

Candidates must possess 3+ years of experience as an ML Engineer or Data Scientist, particularly in highly scalable production environments, and demonstrate deep exposure to data science and ML tech stacks including sklearn, Keras/PyTorch, and tuning frameworks, along with proficiency in Python, Pandas, and Jupyter notebooks. They should be a team player with strong written and verbal communication skills, capable of effectively communicating between technical and non-technical audiences, and possess experience with Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, and Kubernetes.

Responsibilities

In this role, the Senior Machine Learning Engineer will build ML models for production use, perform in-depth exploratory data analysis to identify ML opportunities and potential data issues, suggest and implement new features to improve model performance, translate client business problems into ML problems, write and review production-quality code, build scalable machine learning models for claim time series forecasting and NLP text understanding, and continuously grow and learn within the data and ML space to address business problems involving large-scale structured and unstructured datasets.

Skills

Python
Pandas
scikit-learn
Keras
PyTorch
Dagster
BigQuery
Vertex AI
GCP
Spark
Kubernetes
NLP
Time Series Forecasting
Data Analysis
Machine Learning

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.

Key Metrics

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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