Top Remote Senior Level Machine Learning Jobs in San Francisco Bay Area, CA
The Staff Machine Learning Engineer will leverage AI to create tools to enhance engineering productivity at Block. Responsibilities include developing a scalable AI platform, collaborating with teams to improve internal workflows, and driving AI strategy across the organization.
As a Senior Machine Learning Engineer in the Conversational AI team, you will lead machine learning projects, automate and optimize features, collaborate with business leaders, and advocate for best engineering practices. You will utilize your expertise in machine learning and generative AI to build intelligent products and drive the end-to-end project lifecycle.
As a Senior Machine Learning Engineer, you will design and build large-scale ML systems, collaborate with various teams, and evaluate ML performance to meet business objectives, directly impacting user experiences.
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In this role, you will build AI and Machine Learning solutions to enhance user experiences and workflow efficiency in enterprise services, collaborating with teams to deliver high-quality cloud-based software.
As a Senior Software Engineer on the ML Platform team, you'll build and maintain software applications for machine learning model deployment and process automation. The role includes developing tooling and infrastructure for research scientists, enabling rapid model experimentation, and ensuring automated, repeatable processes for model training and deployment.
As a Principal Machine Learning Engineer at Atlassian, you will lead the development of advanced machine learning algorithms, work with diverse teams to integrate AI capabilities into products, design architectures, conduct experiments, and mentor junior engineers, thereby enhancing AI functionalities across the platform.
As a Senior Machine Learning Engineer at Samsara, you will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. You will collaborate with engineering teams and cross-functional partners to deliver core infrastructure and optimize services across the ML pipeline.
As a Senior Machine Learning Engineer, you will develop high-quality machine learning models that assess creditworthiness and collaborate with engineering teams to build decisioning systems. You will research innovative solutions and implement data pipelines essential for production models, contributing to Affirm's credit landscape.
The Machine Learning Engineer will design and build advanced machine learning models for high-value inventory prioritization in Real-Time Bidding. Responsibilities include developing algorithms, enhancing ML infrastructure, conducting statistical experiments, and collaborating on data pipelines. The role requires expertise in machine learning and experience in software engineering.
As a Manager of Software Engineering at SalesLoft, you will lead a team of Machine Learning engineers, focusing on the integration and scalability of Large Language Models. Responsibilities include developing processes, mentoring engineers, and collaborating with cross-functional teams to drive innovation and impact in ML capabilities.
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