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

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.

Develop and maintain scalable AI/ML architectures, collaborate to integrate solutions into products, and evaluate technologies for optimal performance.

As a Quantitative Research Intern, you will research and develop autonomous trading strategies using AI and machine learning on large datasets, collaborating with experts in the field.

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

Lead a team to enhance ML-driven trading strategies, conduct market research, build production-quality code, and optimize strategy implementation in a quantitative trading environment.

As an intern, you will develop and optimize ML systems for financial applications, collaborating with researchers on advanced projects using various programming languages.

Develop and implement machine learning models for evaluating disputes and chargebacks, and create a model orchestration layer. Collaborate on data use for enhanced user experiences.

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.

Develop and implement quantitative models for trading strategies and risk management within investment banking, focusing on machine learning applications.