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

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 a Senior Software Engineer for AI Applications, you'll develop AI-native features, own backend systems, and ensure performance and safety in AI workflows.

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

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

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.

Individual-contributor ML engineer who designs, prototypes, and ships AI-powered newsroom and reader-facing tools. Build and deploy production systems leveraging LLM APIs and web technologies, collaborate with journalists and cross-functional teams, create evaluation frameworks, ensure responsible AI use, and iterate on MVPs based on newsroom feedback.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

Lead a team to develop machine learning models for credit strategies, collaborating across functions and delivering measurable business outcomes.

The Senior Machine Learning Engineer will manage the lifecycle of ML models, transform prototypes to production code, build training pipelines, and monitor system performance.

Lead the vision, strategy, and execution of the machine learning platform at Flex, focusing on compliance, customer success, and internal operations. Build and mentor a team of ML engineers and data scientists to deliver scalable ML systems.