Top Fintech Machine Learning Engineer Jobs in San Francisco, CA

As a Founding Machine Learning Engineer, you'll architect ML systems, develop pipelines, and work closely with executives to optimize investment decisions.

The Principal ML/AI Engineer will shape the AI vision, prototype AI systems, and architect an AI-ready technical stack while mentoring teams and collaborating with executives.

The Machine Learning Engineer will develop, optimize, and integrate ML models and systems focusing on KYC/KYB processes, while ensuring compliance and performance optimization in a dynamic environment.

The role involves architecting AI systems, developing algorithms for optimization and building hybrid search systems. You will lead MLOps processes and collaborate across functions to deliver AI-first products.

The Senior Machine Learning Engineer will develop and maintain ML infrastructure, deploy models, collaborate with teams, and mentor junior engineers.

The Machine Learning Engineer will own the ML lifecycle, develop production models, monitor performance, and collaborate with cross-functional teams to enhance business onboarding and fraud prevention applications.

The ML Engineer will develop and enhance machine learning models for credit decisioning, drive technical innovation, and collaborate across teams to deliver impactful solutions for small businesses.

As a Machine Learning Engineer, you will build end-to-end ML systems for autonomous underwriting, collaborating with underwriters and engineers to advance ML capability.

Lead the development of machine learning models for lending products, manage a data science team, and ensure compliance with regulations.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.