Senior Machine Learning (ML) Engineer (AI Insurtech)

New York, NY or Remote About Us: EvolutionIQ’s mission is to deliver state‑of‑the‑art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and are hiring world‑class talent to build and scale internally, transforming the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces three years in a row and Built In’s Best Places to work in 2025 and 2026! About You: A Senior Machine Learning Engineer who thrives on first‑principles problems that no one has ever worked on before. You love innovation and making an immediate impact, and you are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems, not incremental or marginal improvements, and you’re supercharged by having interesting, unsolved problems continually present themselves. 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, and evaluation strategies Suggest and implement new features to improve model performance and business logic Write and review production‑quality pull requests 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 and ML space with a focus on business problems that require making sense of large‑scale structured and unstructured datasets Qualifications 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments Deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling; comfortable in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions Excellent written and verbal communication skills and can effectively correspond between technical and non‑technical audiences Team player who is solutions‑oriented Experience leveraging Claude Code and related tools is a strong plus Preferred Qualifications 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 Compensation & Benefits Base salary range: $190-225K, with flexibility based on candidate background and experience Annual bonus plan and company equity plan (RSUs) Medical, dental, vision, short‑ and long‑term disability, life insurance, and AD&D; 401(k) 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, and monthly technology stipend $1,000/year for professional development and tuition reimbursement opportunities Open to sponsoring U.S. candidates needing H‑1B transfer/visa sponsorship; please check with Recruiting if applicable EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr EvolutionIQ