Top Remote Fintech Machine Learning Engineer Jobs in San Francisco, CA

Lead a specialized engineering team focused on enhancing AI model performance through advanced techniques and active learning strategies, while ensuring production efficiency.

As an Applied Scientist, you will design and implement machine learning models, develop personalized systems, and enhance decision-making through AI technology to improve user experience and business operations.

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

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

As an Applied AI Engineer, you will design and implement ML systems for customer interactions, focusing on performance and scalability.

Build and design backend services, AI agents, and machine learning models. Collaborate cross-functionally to deliver AI features and maintain code quality.