EvolutionIQ · 11 hours ago
Machine Learning (ML) Engineer
United States
Full-time
Remote
Entry, Mid Level
$160K/yr - $180K/yr
2+ years expEvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient. They are seeking a Machine Learning Engineer to build ML models for production use, perform exploratory data analysis, and translate client business problems into ML problems.
Artificial Intelligence (AI)Commercial InsuranceFraud DetectionInsuranceInsurTechRisk Management
Responsibilities
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
Qualification
Required
You are an ML Engineer / Data Scientist with 2+ years of experience, preferably in highly scalable production environments
You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions
You're a team player who is solutions-oriented
You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences
Preferred
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
Benefits
Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching.
Additional 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 each employee for professional development.
Opportunities for tuition reimbursement.
Company
EvolutionIQ
EvolutionIQ is an AI company that offers claims guidance solutions for insurance companies.
51-200 employees
H1B Sponsorship
EvolutionIQ has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (4)
Funding
Current Stage
Growth StageTotal Funding
$63.45MKey Investors
Brewer Lane VenturesFirst Round Capital
2024-12-20Acquired
2024-08-14Series C· $20.15M
2023-06-22Series Unknown· $10.31M
Leadership Team
Michael Saltzman
Co-Founder, Co-CEO
Recent News
MarketScreener
2025-10-31
Company data provided by crunchbase