Artificial Intelligence Jobs in Berkeley, CA

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.

Responsible for developing and launching platform components for Scale's Generative AI Platform, leading cross-functional teams, and managing the product lifecycle from discovery to launch.

This role focuses on designing and deploying AI agents and frameworks for automation, collaborating with various departments to optimize enterprise systems and workflows at Figma.

Design and build a scalable AI platform focusing on distributed systems and high-performance computing. Collaborate to optimize infrastructure and architecture for dynamic workloads.

The AI Intern will prototype LLM-based agents, explore multi-agent orchestration, and implement agent memory architectures while collaborating on high-impact projects.

Develop and train robotic AI models and reinforcement learning algorithms, implement models in production, and collaborate with cross-functional teams.

The AI Deployment Engineer will manage customer implementation from presales to post-sales, design integrations, and enhance AI phone agents for various clients.

The AI Infra Engineer will design, deploy, and optimize AI training and inference infrastructures using Kubernetes and Slurm while developing APIs and managing distributed systems.

This role involves building backend systems for an AI product, collaborating with teams, and mentoring engineers in a fast-paced startup environment.

The AI Research Scientist will lead projects to develop autonomous systems for engineering tasks, integrating AI research with engineering implementation.

The Senior/Staff AI Researcher will lead research in Generative AI, focusing on model improvement, algorithm development, and product integration while managing cross-functional collaborations and monitoring industry trends.

The AI Customer Success Manager will manage a portfolio of mid-market customers, enhance engagement using data analytics, and drive growth opportunities while collaborating with cross-functional teams.

As an AI Researcher, you will design and build AI systems using LLMs and Reinforcement Learning for financial applications, ensuring product quality and user value while collaborating with teams.

The Senior AI Platform Engineer will design and implement a scalable AI framework, integrate AI services with data pipelines, and ensure secure deployment of AI agents.