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

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.

The Sr. Machine Learning Engineer will design and develop scalable ML models, collaborate cross-functionally, and automate solutions for enterprise applications.

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.

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.

As an AWS Machine Learning Consultant, you'll deliver ML solutions, collaborate with clients, and support internal brand development through thought leadership, requiring expertise in AWS services and ML frameworks.

The role involves understanding technical specifications, developing and maintaining data models, ensuring data quality, and providing production support. It requires extensive experience in Python, SQL Server, Snowflake, and Databricks within a collaborative team environment.

Lead the Machine Learning Engineering team, building and maintaining ML infrastructure, and collaborating with cross-functional teams to deliver production-grade ML systems.

The Engineering Manager - Machine Learning will lead a team developing ML models for growth personalization and financial insights, driving measurable impact across Plaid's products.

The Machine Learning Research Engineer at Optiver will conduct research and develop deep learning models to improve trading strategies, while building robust pipelines and collaborating with other engineers.

Design and implement machine learning systems, collaborate with teams, write efficient code, and manage end-to-end machine learning solutions.