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

The role involves designing and developing AI software solutions, collaborating with cross-functional teams, and optimizing large-scale AI systems for performance and scalability.

The Senior Lead AI Engineer will develop and support AI software components, partner with cross-functional teams, and enhance AI systems performance. Responsibilities include designing, deploying, and optimizing AI models for improved banking services.

Lead a team of Machine Learning Engineers in designing, building, and implementing ML applications, focusing on data-intensive solutions and infrastructure decisions, while promoting best practices in AI.

Lead the development of AI-powered products by collaborating with cross-functional teams, designing AI components, and optimizing models for performance and scalability.

The Distinguished Applied Researcher will drive AI-powered product innovations, guide teams, and conduct impactful applied research while collaborating cross-functionally.

In this role, you will lead AI projects, collaborating with cross-functional teams to develop and deploy advanced AI solutions, focusing on LLM inference and model optimization.

Lead development and deployment of machine learning models using bureau and large-scale numeric/text data. Partner with engineers and product to build, validate, and implement data products, extract insights, and align technical work to business goals while mentoring and influencing stakeholders.

Lead design, build, deploy, and support large-scale generative AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance and observability. Improve performance, scalability, cost, latency, and throughput and contribute to technical vision and roadmap while partnering with cross-functional teams.

Lead model risk management for Card Intelligence: develop and validate machine learning models end-to-end, define model development standards and change management, collaborate with cross-functional teams, and translate technical results into business goals while using cloud and open-source tools at scale.

The role involves developing cutting-edge machine learning models for entity resolution, utilizing technologies like Python and AWS, across vast datasets.