Top AI Research Jobs in NYC, NY

Lead and conduct high-impact AI research across multi-agent systems, foundation models, continual learning, multimodal AI, synthetic data, and formal methods; translate research into production, collaborate with engineers and stakeholders, publish findings, and drive reusable assets and business solutions.

The Staff Applied Scientist will lead the evaluation strategy for AI agent integrations at Datadog, defining metrics and building datasets for quality improvements in agent performance through applied research and technical leadership.

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.

The role involves leading AI research projects, building AI foundation models, collaborating with engineering teams, and mentoring applied scientists to enhance customer interactions through AI.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

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.

The VP of GSI Partnerships will define and execute the global partnership strategy, manage relationships with top-tier GSIs, and drive revenue through joint opportunities while mentoring a small team.

The Director of AI/Agentic Experience Strategy leads AI-driven customer lifecycle strategies, facilitates AI experience design, and collaborates across teams to enhance consumer interactions in financial services.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

Lead the AI research agenda at Kepler, focusing on trustworthy AI for enterprise decisions. Oversee research on agentic systems and evaluation frameworks, and manage a research team. Ensure production deployment of innovative AI solutions based on real financial data.