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

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.

The Senior Applied Scientist will build models for credit risk and fraud functions, leveraging machine learning and collaborating with teams to derive insights from data.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The role involves developing advanced machine learning algorithms, solving complex optimization problems using reinforcement learning techniques, and leading technical projects while optimizing solutions for operational efficiency.

Lead the end-to-end data and model lifecycle, mentor team members, and drive AI/Data Science practices on Databricks to enhance investment decisions.

Lead the design and implementation of Risk machine learning models, optimizing decision-making and enhancing customer experience through data-driven insights.

Lead the development of machine learning models for advertising products, optimizing strategies and driving business-critical outcomes.

The Machine Learning Engineer will extract features from financial data, build predictive models, and enhance Clair's Data Science platform while collaborating with various teams.

The ML Researcher / Modeling Quant will design, train, and optimize ML models for trading strategies, ensuring efficient production and integration with trading operations. The role emphasizes teamwork and rapid prototyping under real trading constraints.