Artificial Intelligence Jobs in Berkeley, CA

The Senior Software Engineer will address challenges in healthcare logistics, optimize scheduling for mobile clinicians, and integrate technology with medical devices.

The Learning Designer will create and deploy effective training solutions for Operations teams to enable high-quality AI training data delivery, analyze learning needs, and support Operators in developing coaching capabilities.

As an AI Product Engineer, you'll architect AI-native product experiences, build LLM-powered agents, and develop full-stack systems while collaborating with cross-functional teams.

The Principal Product Manager will oversee the Nexus AI platform's strategy and roadmap, ensuring it supports financial employees effectively and integrates seamlessly with existing systems.

As a Senior AI Engineer, you will lead AI infrastructure development, manage end-to-end project leadership, and ensure rapid iteration based on user feedback.

The Staff AI Engineer will enhance you.com's AI capabilities, focusing on developing AI infrastructure, leading projects, and mentoring the team.

As an AI Prompt Engineer, you will develop and improve features for Monograph’s platform, utilizing your expertise in various programming languages while collaborating with product teams to enhance user experience.

As an Applied AI Engineer, you'll enhance Console's AI platform by building product flows, automating processes, and improving user experience through data insights.

As a Senior Applied AI Engineer, you will develop and deploy machine learning models, improve system performance, and drive AI initiatives at Databricks.

As a Backend AI Engineer at DeepSearch, you will develop and optimize AI models, enhance product features, and collaborate with teams to improve search capabilities.

The AI Researcher & Engineer will develop AI models and systems, optimize product features, and collaborate on search capabilities to enhance user experience.

As a Staff Backend Engineer, you will develop scalable AI-driven backend systems, mentor the team, and improve engineering practices.

The Senior Software Engineer will build and maintain developer products focusing on LLM and Agentic applications, ensuring excellent developer experience through collaboration and technical excellence.

Lead the design and delivery of AI/ML features for backend architecture, mentor engineers, and influence engineering standards while collaborating with cross-functional teams.

As a Senior Full Stack Engineer, you will focus on building AI-powered backend systems with TypeScript and Node.js, integrating Generative AI models, and collaborating to deliver impactful user experiences.

Lead design for AI product experiences, prototype with advanced tools, define frameworks for AI, and promote a strong design culture.

As a Software Engineer on the AI Gateway Team, you will design and implement distributed systems for secure application connections, optimizing traffic routing and policy enforcement with a focus on scalability and developer experience.

Lead and scale a team of engineers building AI inference platforms, manage core AI service development, and drive execution on AI roadmap.

The role involves ensuring reliability of AI-optimized cloud services, focusing on design, automation, and performance for AI workloads.

This role involves leading the design and implementation of scalable AI services, optimizing performance for millions of API requests, and collaborating with various teams to influence AI platform development.

As a Senior Software Engineer, you will design and implement scalable AI infrastructure, collaborate with teams, and ensure high performance for AI services.

The AI Controls Engineer develops and deploys reinforcement learning models for robotics, integrating perception for collision-free locomotion and manipulation tasks.

As a Product Engineer at Bun, you'll create AI-powered features, build full-stack applications, and lead product development from ideation to production while closely collaborating with leadership.

As an AI Application Engineer, build and deploy Agentic AI applications for Fortune 500 companies, analyze customer requirements, and enhance the GenAI performance.

The Associate AI Platform Architect will design and implement intelligent workflows, support customer success, collaborate with teams, and drive operational excellence using AI frameworks and the Flow Builder platform.