Top AI Research Jobs in NYC, NY

The Applied Researcher I will partner with teams to deliver AI products, leverage technologies to analyze data, and build foundation models. This role includes engaging in applied research and translating technical findings into business goals.

In this role, you will develop AI foundation models, conduct applied research, and collaborate with cross-functional teams to enhance customer experiences through AI-powered products.

The Director, AI & Advanced Data Learning oversees the learning strategy for advanced AI and data roles, ensuring alignment with Mastercard's technology needs. This role focuses on skill development, designing practical learning experiences, and measuring the impact on technical teams' performance.

The Associate Principal Scientist will design and execute research projects, perform computational analyses, and communicate insights in precision medicine for oncology, collaborating with stakeholders.

As an AI Research Engineer, you will develop systems for research ideas, build datasets, implement models, and collaborate on AI capabilities with various teams.

The Vice President will drive Digital Asset initiatives, focusing on blockchain technology, enterprise applications, and leading technical integrations within financial products.

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 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 role involves designing and deploying AI systems for vaccine discovery, leading predictive modeling, integrating datasets, and mentoring colleagues on AI applications in vaccinology.

Lead MongoDB's internal data product portfolio, focusing on GTM, analytics, and self-serve data capabilities while managing a team of Product Managers.

The Sr. Director will develop a technical learning ecosystem, partner with stakeholders to create learning initiatives, and manage talent pipelines.