Top AI Research Jobs in NYC, NY

The Senior Applied Scientist will develop and optimize algorithms for evaluating healthcare providers, focusing on quality, cost, and access, and will work closely with engineering to implement scalable solutions.

As an AI Strategist, you will drive strategic deployment and growth of Hebbia’s AI platform in top financial institutions, leveraging domain expertise and client relationships.

Lead enterprise AI and data strategy, partnering with Technology and People leaders to define roadmaps, translate business priorities into AI/data initiatives, govern adoption, measure success, and drive scalable, responsible implementation across the company.

The Head of AI Data Science leads AI research and data science operations, overseeing a behavioral intelligence platform, managing a team, and ensuring application of advanced models in production.

The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.

Evaluate and validate AI Coach chat outputs for accuracy and risk, act as subject-matter expert in personal financial planning, identify enhancements, escalate issues to Ops/Product/Compliance, and contribute reusable solution libraries to improve member experience.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.

As Director of User Insights, you'll lead a research team, utilizing qualitative and quantitative methods to inform product decisions and improve user experiences. You will ensure research connects to actionable outcomes and supports product development initiatives.

Lead and conduct mechanistic interpretability and alignment research for security-specialized AI. Develop methods to read model internals, detect misuse signals, design training interventions and evaluation frameworks, publish original research, and recruit and mentor a lean research team.

As an AI/ML Data Contributor, you will label data, evaluate content, test user experiences, and follow guidelines for task completion.