Top Senior Machine Learning Jobs in San Francisco Bay Area, CA

As a Staff Machine Learning Engineer on the Conversational AI team, you will lead machine learning projects to enhance Square's products through conversational and generative AI techniques. Responsibilities include collaborating, developing ML solutions, mentoring the team, and ensuring engineering quality while driving end-to-end machine learning initiatives.

The Staff Machine Learning Engineer will develop and integrate ML solutions to assess customer cash flow risk and optimize automated decision-making in financial products. This role involves collaborating with product, finance, and engineering teams while driving growth opportunities through data-driven insights.

As a Senior AI Engineer, you will design and maintain large-scale AI/ML pipelines, train and tune models, and develop evaluation frameworks for machine learning and large language models. Collaboration with a team of AI engineers is essential for optimizing network applications.

The Staff Machine Learning Engineer will work with researchers and engineers to develop AI-powered solutions, focusing on Large Language Models (LLMs). Responsibilities include applying machine learning techniques to real-world problems, conducting LLM benchmarking, participating in data generation efforts, and collaborating with various teams to ensure high-quality software delivery. The role involves innovating new ideas and possibly publishing research findings.

As a Senior Machine Learning Engineer at Samsara, you will lead ML initiatives, develop end-to-end applications, and collaborate with cross-functional teams. Your work will have a significant impact on improving the safety, efficiency, and sustainability of physical operations.

As a Senior Manager in Machine Learning Engineering, you will lead the design and implementation of machine learning applications, focusing on architectural design, model development, and ensuring performance. Collaborate with Agile teams to build optimized ML systems and data pipelines, utilizing best practices in machine learning and continuous deployment.

The Applied AI/ML Director will lead local AI/ML teams, manage projects through the ML development life cycle using Agile methodology, and collaborate with cross-functional teams to drive AI innovation and deliver business results.