Machine Learning Jobs in San Jose, CA

As Product Marketing Manager, you will define the value proposition and GTM strategy for CoreWeave's compute services, collaborating with stakeholders to drive user adoption and measuring impact through metrics.

The role involves architecting AI-first implementations, driving product adoption, providing customer advice, and collaborating cross-functionally to enhance ServiceNow's AI offerings.

Lead the Product Design for AI initiatives at ServiceNow, overseeing user experience, team management, and collaboration across Product and Engineering to drive innovative solutions.

The AI Architect will drive AI-first implementations, product management collaboration, and enhance customer adoption for ServiceNow's AI solutions.

Design AI-first implementation experiences, collaborate with cross-functional teams, and drive customer pilots to enhance ServiceNow's offerings and reduce deployment friction.

As a Senior Principal AI Architect, you'll design AI-driven implementation processes, engage with clients, and ensure successful AI adoption, collaborating with cross-functional teams to enhance ServiceNow's AI solutions.

The Principal Software Engineer will design and implement scalable backend services, lead technical initiatives, and ensure high availability across critical systems.

Lead the Teamwork Graph team in building and deploying the knowledge graph, processing data, and mentoring team members while collaborating across products.

The role involves managing technology solutions, mentoring teams, and building client relationships while delivering innovative AI and GenAI technologies.

Responsible for developing AI/ML solutions, managing teams, understanding product requirements, and creating data processing pipelines to enhance enterprise services.

The Staff Product Manager will oversee model training systems for autonomous vehicles, balancing engineering, business needs, and data fidelity while leading cross-functional teams and driving strategies for efficient ML training workflows.

The Group AI Research Product Manager will lead the AI Foundations portfolio strategy, driving innovations in Cybersecurity AI and liaising with PhD scientists to enhance research outcomes.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

Lead ads ranking at Snap, improve user relevance, advertiser performance, and revenue using ML models. Collaborate with cross-functional teams and mentor PMs.

Lead the Product Design team to enhance user experience through design thinking, oversee product portfolios, mentor staff, and collaborate closely with Product and Engineering.

Drive and deliver initiatives to enhance developer productivity through AI-driven solutions and lead complex technical challenges in Developer Experience.

The Senior Research Scientist will lead research in AI, focusing on large neural networks and innovative information retrieval methods, collaborating with other researchers and engineers.

As a Senior AI Engineer at Capital One, you will develop and optimize AI systems, collaborate with cross-functional teams, and contribute to foundational AI technologies.

As a Senior Staff Machine Learning Engineer, you'll develop AI/ML solutions, collaborate cross-functionally, and enhance customer experience through conversational AI and data processing.

The Sr. Product Manager will lead Tinder's recommendation system integration across various product surfaces, manage cross-functional collaboration, and enhance personalization processes and feedback loops.

The Sr. Software Engineer will focus on machine learning techniques for monetization, developing algorithms, optimizing promotions, and improving prediction models while collaborating with diverse teams.

As Product Manager for Falcon AI Studio, you'll shape strategy, gather requirements, collaborate with teams, and optimize user experiences for cybersecurity solutions.

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

The Machine Learning Engineer will create models to drive user and advertiser value, perform code reviews, and build scalable products with a focus on quality.

As a Machine Learning Engineer, you will develop AI/ML systems for robotics and manufacturing, adapt architectures for complex applications, and engage in research contributions.