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

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.

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.

Lead design, development, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.

Lead development of machine learning and NLP solutions for operational risk analytics: partner with cross-functional teams, build end-to-end models (design, training, evaluation, validation, implementation), analyze large numeric and text datasets, deliver insights and reporting to senior leaders, and experiment with emerging generative AI techniques to improve risk management.

Build, validate, and deploy machine learning models (classification, time series, ensembles, LLMs) using big-data tools to optimize marketing campaigns and drive personalization. Partner with engineers, product managers, and marketers to operationalize models and translate insights into business impact.

Lead ML Engineer responsible for designing, building, deploying, and maintaining production ML systems and data pipelines at scale. Collaborate with product and data science teams, ensure model governance, monitoring, CI/CD, and leverage cloud-based architectures to deliver performant, explainable ML solutions.

Lead strategy and hands-on implementation for enterprise developer insights and distributed AI telemetry. Architect streaming, data engineering and ML/AI inference platforms, enforce privacy and risk controls, scale telemetry to billions of events, and mentor engineering leaders to translate AI telemetry into measurable business outcomes.

As a Director, Data Scientist - Generative AI Systems, you will lead a team to develop AI products using NLP and generative AI technologies, partnering with cross-functional teams. Your role involves leveraging open-source programming and machine learning to convert customer data into actionable insights and enhance customer interactions with financial services.

The role involves designing, developing, and optimizing AI software components, collaborating with cross-functional teams, and contributing to the technical vision of AI systems at Capital One.

Partner with teams to deliver AI-powered products, build foundation models, and conduct applied research to enhance customer experiences.