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

The Staff Machine Learning Engineer will integrate ML solutions to assess customer cash flow risk, support multiple products, and enhance automated decision-making using AI/ML within Cash App's Underwriting and Credit team. The role involves experimenting with modeling techniques on customer data and collaborating with cross-functional teams to drive growth.

As a Senior Software Engineer in the Central AI team, you will develop and maintain the core infrastructure for machine learning models. Your role involves solving complex infrastructure problems, leading engineering projects, and collaborating with other teams to drive AI innovation across Atlassian's products.

As a Senior Machine Learning Quality Engineer at ServiceNow, you will design and review test automation frameworks for machine learning models, work with ML engineers to address functional requirements, establish metrics for test effectiveness, and create comprehensive test plans. Collaboration with both technical and non-technical team members is essential to ensure quality in AI and ML applications.

As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating their performance. Responsibilities include data collection design, feature engineering, and building evaluation frameworks.

The Executive Director for Applied AI/ML will lead a team to address business challenges for JPMorgan's Global Banking sector, driving AI technology innovations. Responsibilities include setting a strategic vision, guiding project execution, collaborating with stakeholders, and fostering a high-performance culture within the team.

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 Machine Learning Engineer on the On-Device ML team at Grammarly, you will design and implement ML models for on-device features, evaluate their performance, and collaborate with product teams to integrate these capabilities into user interfaces. You will leverage academic research to enhance the technology and launch models while responding to user feedback.