Artificial Intelligence Jobs in Oakland, CA

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

Lead cross-functional teams to design and deliver commercial analytics projects for life sciences clients. Provide strategic guidance, analyze data, develop actionable insights, manage client communications and timelines, build/optimize data processes (including coding and visualization), support business development, and mentor junior staff.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

Lead development for the AI platform and manage customer experiences at Jerry.ai, integrating LLMs and APIs to improve efficiency and automation.

As a Product Owner at Jerry.ai, you will lead AI platform development, collaborate with engineers, improve customer experiences, and ensure AI best practices. You will drive automation and enhance service quality while working with partners like OpenAI to advance product capabilities.

The Senior Technical Product Manager will lead the development of Jerry.ai's AI platform, integrate with OpenAI, and improve customer experience through automation and experimentation.

Lead the development of Jerry.ai's AI platform and customer experiences, collaborating with engineers to design strategies and improve outcomes using LLMs and automation.

Lead the development of AI agents and platform at Jerry.ai, collaborating with engineers and partners to enhance customer experience and automate processes.

You will lead the development of an AI platform integrating LLMs and internal APIs to automate car ownership services. Your responsibilities include creating roadmap strategies, designing prompt strategies, and improving customer satisfaction through rigorous experimentation.

Lead the development and scaling of Jerry.ai's AI platform and customer experiences, overseeing roadmap, integration with AI partners, and ensuring success metrics through experimentation.

The Senior Technical Product Manager will lead the development and strategy for the AI platform at Jerry.ai, coordinating between engineering and product teams, and driving improvements in customer experiences using AI technologies.

Lead the development of an AI platform by integrating LLMs and APIs to enhance customer service automation and improve user experience.

Lead the development of Jerry.ai's AI platform, integrating LLMs and APIs to enhance customer experience and automate processes. Collaborate with engineers to establish standards and improve service metrics.

Lead the development of Jerry.ai's AI platform, integrating advanced LLM systems to enhance customer experiences and automation. Collaborate with engineering to establish standards and improve service quality through experimentation.

Lead the development of Jerry.ai's AI platform, integrating LLM systems and optimizing customer experiences while collaborating with engineering teams.

Lead the development of Jerry.ai's AI platform, collaborate with engineering, design prompt strategies, and improve customer experience through data-driven decisions.

The role involves leading the development of an AI platform, partnering with engineering teams, and driving improvements in automation and customer satisfaction through experimentation.

Lead the development of a seamless AI platform and customer experience at Jerry.ai, focusing on automating car ownership through LLMs and internal APIs.

Lead the end-to-end development of Jerry.ai's AI platform, collaborating with engineering to improve customer experiences and automate processes in the car ownership market.

Lead AI feature design and delivery, build large-scale ML systems, mentor engineers, and define best practices across the engineering organization.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

The AI Research Director will lead the applied AI research agenda while managing a team of researchers to develop advanced capabilities in multiphysics and spatial reasoning. They will also collaborate directly with the CEO and nurture connections within the AI ecosystem.

As Support Engineering Lead, you will debug complex AI platform issues, lead a support engineering team, and improve support processes and automation.

Design, optimize, and deploy multimodal AI models for real-world applications focusing on vision and language understanding, ensuring accuracy and performance in production systems.

Develop and prototype AI-driven applications, validate ideas with real data, and transition projects into production while collaborating with teams and customers.