Top Financial Services Machine Learning Engineer Jobs in New York City, NY

The role involves developing machine learning models for customer data, partnering with engineering and product teams to enhance customer experiences and ensure data accuracy across various Capital One products.

Design and build AI-powered consumer products, partner with cross-functional teams, and lead the development of machine learning systems.

The Applied AI ML Lead will solve complex business problems using AI, develop statistical models, mentor juniors, and communicate findings effectively.

As a PhD Intern, you will design, develop, and implement software solutions for automated trading systems, collaborating with quantitative researchers.

Develop ML models to detect fraud, collaborate with teams to deploy solutions, and improve ML processes while mentoring teammates.

The role involves building machine learning models to detect and reduce fraud in Block's Cash App and Square ecosystems. Responsibilities include collaboration with cross-functional teams, developing ML-driven solutions, and improving the ML lifecycle efficiency, while also mentoring teammates.

The role involves designing and deploying machine learning models, optimizing large language models, and collaborating with cross-functional teams to enhance data management for alternative investments.

The Senior Software Engineer, Machine Learning will develop, deploy, and maintain production-ready ML solutions, collaborating with data scientists and business stakeholders to ensure alignment with company goals.

This role involves developing and deploying AI and ML solutions for service operations, collaborating with cross-functional teams to enhance efficiency and client experiences.

As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.