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

Lead the design, development, and implementation of machine learning applications. Collaborate cross-functionally to deliver ML models that solve business problems and ensure best practices in ML engineering.

As a Senior Associate in Quantitative Analysis, you'll develop financial models, apply machine learning, collaborate with teams, and communicate insights.

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

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 technical vision for Upstart's ML and simulations platform, modernizing infrastructure and mentoring a team while collaborating cross-functionally.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.