Top Fintech Machine Learning Engineer Jobs in San Francisco, CA

Lead the development and implementation of machine learning models for mortgage risk assessments, ensuring compliance and operational integration.

The role involves designing ML systems for deduplication and clustering, enriching knowledge graphs with insights, and enhancing process understanding through advanced ML techniques.

The Lead Machine Learning Engineer will design and build ML models, collaborate with teams, ensure model performance, and utilize cloud technologies for optimized deployment.

Manage financial markets risk portfolio by applying statistical and machine learning models to optimize forecasting and decision-making. Collaborate with cross-functional teams to provide actionable insights.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

The AI/ML Software Developer collaborates to design solutions, develops software, performs debugging and testing, while maintaining documentation.