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Top Hybrid Machine Learning Jobs in San Francisco, CA
The Senior Machine Learning Modeler will develop statistical models to forecast business outcomes using machine learning techniques. Responsibilities include managing the end-to-end model development process and collaborating across teams to solve complex business problems and communicate findings to senior leadership.
The Staff Machine Learning Engineer will lead and shape the technical vision for Cash App's underwriting and credit solutions by architecting robust systems and mentoring engineers. Responsibilities include enhancing ML infrastructure, collaborating with cross-functional teams, and contributing to large-scale features tied to financial health and accessibility for customers.
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team, guiding engineers in the development of machine learning solutions that enhance customer experiences on Cash App. Responsibilities include strategic collaboration, mentoring team members, and incorporating AI into product features.
The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.
The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.
Featured Jobs
As an Applied AI Scientist, you will develop advanced algorithms for large data challenges, apply statistical and data mining techniques, evaluate emerging datasets, and contribute to research and thought leadership in machine learning and analytics.
As a Staff Machine Learning Engineer, you will develop ML strategies to enhance customer support, lead the development of a natural language understanding system, and collaborate with teams across the organization to leverage existing ML capabilities.
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The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.
As a Senior Director of Technical Program Management at Capital One, you will lead initiatives enhancing data management and machine learning capabilities. You will oversee complex technical projects, ensure delivery of solutions, and foster collaboration across teams. Your role involves shaping TPM practices while aligning projects with business objectives and mitigating technical risks.
The Staff Machine Learning Engineer will build and integrate machine learning solutions to evaluate customer cash flow risk and support multiple products in Cash App. The role involves experimenting with modeling techniques and collaborating with finance, product, and engineering teams to enhance automated decisioning processes and optimize growth opportunities.
The Applied AI/ML Director will oversee the development and implementation of machine learning platforms, optimize internal inference stacks, and collaborate with engineering teams to innovate AI/ML solutions, while also mentoring engineers and driving technology adoption across teams.
The Principal Machine Learning Engineer will lead the development of recommendation systems for Disney's streaming platforms. Responsibilities include designing algorithms, collaborating with data science and product teams, and optimizing user experiences across various services. The role emphasizes building scalable ML pipelines and effectively communicating with both technical and non-technical stakeholders.
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