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

The Research Engineer will develop scalable infrastructure for machine learning research, optimize workflows, and enhance model inference for trading systems.

AI Residents will develop machine learning algorithms, engage in research, and collaborate with quantitative teams to drive innovation in finance.

The VP, Quantitative Developer will develop algorithms for crypto markets while collaborating with traders and optimizing trading systems.

The Senior Machine Learning Engineer will design, build, and scale ML models and pipelines, support production efforts, and collaborate with other engineers and data scientists to deliver real business value using AI solutions.

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 development of production-grade machine learning systems, build ML pipelines, and optimize models for deployment and performance.

The Director of Machine Learning Engineering is responsible for leading AI strategy, overseeing ML solutions, driving innovation, building teams, and ensuring operational excellence in ML systems.

As an AI Software Development Intern, you will support AI-driven solution development, assisting in coding, machine learning model development, and data analysis, while collaborating with experienced professionals.

The Senior Machine Learning Engineer will build and operate ML systems end-to-end, focusing on production-grade ML platforms, feature pipelines, and MLOps practices while collaborating with cross-functional teams.

The Applied Scientist AI/ML Intern will work on building data pipelines, finetuning LLMs, and deploying AI models in a collaborative team environment.