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

Develop AI/ML models for credit risk in lending products, collaborating with teams to optimize data strategies and ensure model compliance.

As an Applied Science Intern at Ramp, you'll manage machine learning projects, collaborate with teams, and apply AI techniques to solve business problems.

The role involves leveraging data science techniques and machine learning to drive business solutions, enhance data applications, and collaborate with stakeholders and data engineers.

The Machine Learning Engineer will manage the end-to-end ML lifecycle, collaborate with cross-functional teams, develop production models, and monitor their performance in high-stakes environments.

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.

The Senior Staff AI/ML Engineer will design, develop, and deploy scalable machine learning models, collaborating with teams to address business challenges and ensure high performance in production environments.

As a Staff Applied Scientist, you will develop and deploy advanced credit and risk models, leveraging machine learning to optimize lending decisions. Collaborate with Product, Engineering, and Analytics teams to enhance OnePay's credit access and ensure responsible AI practices.

As a Staff Machine Learning Engineer, you will design scalable ML systems, mentor engineers, solve complex problems, and optimize models in a fintech environment.

You will build and own end-to-end ML systems, focusing on training, evaluation, deployment, and integration with applications, while ensuring quality and efficiency.