Top 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.
The Sr Manager, Machine Learning Platform will lead the Model Engineering team at Disney, focusing on building a state-of-the-art ML runtime environment. Responsibilities include mentoring the team, providing technical direction, and partnering with stakeholders for scalable ML solutions while maintaining a culture of innovation and collaboration.
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The Principal Engineer will drive technical capabilities in Machine Learning and AI across teams, take on leadership responsibilities, mentor other engineers, and ensure high execution standards. They will also collaborate on significant hands-on development for ML/AI products, shape technical standards, and present to senior leaders.
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.
As a Principal Data Scientist, you will work on developing machine learning models, conducting experiments to improve customer experiences, and building scalable production systems for vast amounts of transactional data. You'll collaborate closely with engineering and product teams, focusing on cutting-edge technologies in AI and analytics.
As a Machine Learning Engineer at Snap Inc, you will create models that enhance user experience, evaluate technical trade-offs, perform code reviews for quality assurance, and build scalable products while prioritizing swift iteration.
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.
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