Top AI & Machine Learning Jobs in New York City, NY

Design, evaluate, and productionize LLM-based AI products for oncology data. Create custom evaluations, analyze model outputs, collaborate with clinicians and engineers, and support product improvement, monitoring, and stakeholder communication.

Build, deploy, and maintain production-grade AI-powered automations that connect systems and automate processes. Partner with stakeholders to scope requests, write integration code, monitor workflows, troubleshoot failures, and document solutions for maintainability.

Senior ML engineer building and deploying deep learning models (transformers, foundation models, transfer learning) for oncology real-world data. Responsibilities include research and development of predictive models (digital twins, endpoint prediction, trial optimization), extending models across data sources, supporting client engagements, and partnering with product and engineering to productionize reproducible, maintainable solutions while communicating results to technical and non-technical stakeholders.

Maintain operational tools and metrics to support real-world evidence deliveries; transform data into actionable insights using statistical methods and visualizations; build and support dashboards and data tools; run ad-hoc analyses, experiments, and predictive models; collaborate with cross-functional stakeholders and operations teams to prioritize and improve processes.