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

Lead development and deployment of machine learning models across the credit card lifecycle. Partner with cross-functional teams to build data-driven products, analyze large numeric and textual datasets, validate and implement models, and translate technical insights into business impact.

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.

Lead the development of AI software components for Capital One, including model training, inference, and system optimization. Collaborate with cross-functional teams to deliver groundbreaking AI solutions, ensuring quality and scalability while mentoring junior team members.

The role involves developing AI foundation models, collaborating with cross-functional teams, and conducting applied research to enhance customer experiences using advanced AI techniques.

This role involves partnering with teams to develop AI-powered technology, advancing applied research in AI, and delivering impactful models. Candidates will work on foundational models and leverage new technologies to optimize customer interactions with banking services.

Join Capital One as an Applied Researcher I to develop AI-powered products, work with diverse teams, and innovate AI methodologies focused on enhancing customer experiences.

The Applied Researcher II will collaborate on AI-powered products, conduct applied research, build AI models, and translate technical work into business goals.

Lead a team to design and build AI-native engineering harnesses and agentic workflow orchestration for governed model use. Implement typed contracts, observability, CI/CD integration, evaluation gates, developer tooling, and cloud-native services to enable secure, auditable, and repeatable AI-assisted software delivery across the enterprise.

As a Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

The role involves partnering with cross-functional teams to design, develop, and deploy AI software solutions, focusing on large language models and AI optimization techniques.