Artificial Intelligence Jobs in Berkeley, CA

The role involves designing and building AI-driven web applications for generating software from API designs while collaborating with a fast-paced team.

A Principal Software Engineer will enhance and deliver AI/ML technology products, collaborating across teams to improve engineering practices and leading AI/ML feature development.

The Sr Lead Software Engineer will enhance and deliver AI solutions in an agile environment, leading development while ensuring stability and data compliance.

Lead and inspire a sales team focused on MongoDB adoption among startups, driving growth, mentoring, and relationship building within the ecosystem.

Lead engineering initiatives for Starburst's AI platform, managing teams and collaborating across departments to ensure successful AI execution and governance.

The Distinguished AI Engineer will design, develop, and support AI software components, collaborate with cross-functional teams, and innovate AI optimization techniques to enhance banking experiences.

Lead the founding AI research engineering team, driving AI initiatives, translating research into scalable systems, mentoring, and integrating AI into products.

The Lead AI Engineer will develop and support AI software components, optimize AI performance, and lead collaborative product delivery efforts to enhance customer experiences.

As a Principle Engineer at Atlassian, you will be responsible for designing and developing engineering solutions, leading teams, and ensuring high-quality standards in engineering processes.

The IP Counsel will advise on AI, open source software, and IP transactions, ensuring compliance and facilitating engagement with the open source community.

The AI Software Engineer will develop AI/ML solutions, build prototypes into production systems, and collaborate cross-functionally while ensuring compliance and quality.

The AI Engineer will develop and support AI software components, partner across teams, and optimize AI models and systems for better performance. Candidates should have a strong foundation in programming and AI technologies.

This role involves designing and building AI software components, collaborating with cross-functional teams to deliver AI products, and contributing to the technical vision of foundational AI systems at Capital One.

The Director of Data Science will lead AI strategy and oversee the creation of scalable ML and AI solutions to enhance care delivery for seniors, ensuring performance and supporting cross-functional initiatives.

The Lead Solution Engineer will collaborate with teams to create solutions for clients, manage the sales cycle, and demonstrate product value. This involves understanding customer needs, delivering presentations, and participating in training while achieving performance objectives.

The SVP of Enterprise AI Strategy & Engineering will lead Forge's AI transformation strategy, embedding AI into products and operations for improved efficiency and decision-making.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Lead the development of AI-powered features in a fullstack role. Collaborate with research and engineering teams to enhance user experiences and integrate new functionalities into the platform.

The Senior Developer Advocate will lead initiatives in Generative AI, create content, coach teams, and advocate for community needs while enhancing Datadog's reputation.

The role involves providing AI training, prototyping internal tools, and assisting colleagues with AI workflows, requiring strong communication skills and high curiosity.

The Senior Product Marketing Manager will develop an AI messaging framework, lead sales enablement, conduct research, and create thought leadership content.

Lead a team to improve AI Meeting Notes product, focusing on engineering management, collaboration with cross-functional teams, and ensuring quality and value delivery.

The AI Engineering Manager will lead a team on AI/ML solutions, ensuring delivery from architecture to deployment while maintaining high standards in security and compliance.

As a Senior DevOps Engineer, you'll enhance our cloud infrastructure by automating deployments, managing multi-cloud environments, and optimizing costs while ensuring security and observability across systems.