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

Conduct applied research to design, train, evaluate, and deploy AI foundation models and recommendation/personalization systems. Collaborate with cross-functional teams to build models at scale using PyTorch, cloud infrastructure, and open-source tools. Publish research, deliver platform-level code, and drive long-term research agendas to improve customer experiences.

Lead product management for Capital Ones Enterprise AI/ML platform, building intelligence capabilities and tools for data scientists and ML engineers. Drive roadmap, cross-functional execution with engineering, risk, security, and business partners, ensure governance, resiliency, and cost controls, and deliver scalable, user-centered platform experiences.

Lead and deliver card fraud detection solutions: design, train, validate, and deploy machine learning models at scale using big-data tools. Partner with engineers and product managers, translate technical work to business impact, and coach team members while leveraging cloud and open-source technologies.

Lead a team to design and deliver cloud-native, full-stack systems and distributed microservices that power content creation and publishing. Own end-to-end stack including MLOps, dataset curation, model evaluation, and mentor engineers while collaborating with product managers to deliver scalable AWS/GCP/Azure solutions.

Lead a team building cloud-native, full-stack, microservices-based systems that leverage AI/LLMs and advanced cloud infrastructure. Design, develop, test, and implement scalable personalized messaging solutions, mentor engineers, conduct code reviews, and drive technical direction across projects.

Lead the development and deployment of AI-powered products with a focus on foundational AI systems, LLM optimization, and team collaboration to enhance user experiences in banking.

The Lead AI Engineer will develop and deploy AI components, optimize large language models, and improve AI systems performance while collaborating with cross-functional teams.

As a Principal Associate Data Scientist at Capital One, you will develop generative AI-based solutions, collaborate with cross-functional teams, and build machine learning models to derive insights from large data sets.

As an Applied Researcher I, you'll collaborate with cross-functional teams to develop AI solutions, engage in research, and contribute to AI model development.

As a Lead AI Engineer at Capital One, you will design and support AI software, develop LLM and optimization techniques, and collaborate with cross-functional teams to innovate AI products.