Top Fintech Machine Learning Engineer Jobs in New York City, NY

Lead the design, development, and implementation of machine learning applications, focusing on architecture, model training, and deployment using emerging technologies.

The role involves developing fraud protection models for Business Cards and Payments by analyzing data, collaborating with teams, and implementing machine learning solutions.

The role involves developing machine learning models to detect fraud, collaborating with various teams, and leveraging advanced technologies for insights from complex data.

Algorithm Developers build predictive trading models by analyzing market data. They collaborate with engineers to enhance trading efficiency using statistical analysis and machine learning.

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 Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

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

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.

Lead the development of Graph database and Reinforcement Learning capabilities, mentoring a data science team, and ensuring compliance in a regulated financial environment.

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.