Artificial Intelligence Jobs in Sunnyvale, CA

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Transform foundational research into scalable systems and algorithms, implement efficient learning methods and optimize high-performance data pipelines.

Lead architecture, design, and deployment of low-latency edge AI for vehicle cabin features. Optimize ML models for automotive compute, integrate with AAOS/QNX, mentor senior engineers, set engineering standards, and prototype new AI capabilities.

Design and develop AI conversational agents and intelligent search systems. Collaborate on scalable AI solutions, mentor team members, and enhance existing products.

As a Senior Software Engineer, you will lead projects involving Machine Learning and AI technologies, collaborate with cross-functional teams, and design user-centric features to enhance enterprise automation.

The role involves designing AI agents, building intelligent search capabilities, collaborating on scalable solutions, and delivering high-quality products while mentoring colleagues.

The role involves building and evolving AI agent systems, implementing advanced AI algorithms, collaborating with teams, and mentoring junior engineers.

Lead development of autonomous AI systems and multi-agent workflows. Design, implement, and ensure safe agentic solutions for enterprise services.

Design and implement highly scalable microservices and platform components for AI detection services. Drive operational excellence and mentor team members.

The role involves researching, designing, and prototyping generative AI solutions for cybersecurity. Responsibilities include building datasets, training models, and presenting findings to various audiences.

The role involves architecting AI applications, delivering scalable solutions, conducting research, and implementing high-quality code for cloud platforms. Requires collaboration and effective communication.

Design and implement scalable microservices for AI Detection and Response. Collaborate on issues, code reviews, and mentor team members in secure coding practices.

In this role, you will develop and maintain CI/CD pipelines, collaborate across teams to implement best practices, and troubleshoot deployment issues in a hybrid work setting.

Design and maintain scalable authentication and authorization services. Implement identity protocols and ensure secure user access for the AIDR platform.

The Software Test Engineer tests software, logs defects, collaborates with teams, and enhances test strategies and processes to ensure high-quality project delivery.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.

As a Research Product Manager, you will oversee complex research programs, turning technical ideas into execution plans and aligning research with production systems to enhance AI capabilities.

The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.

Develop and deploy machine learning solutions for autonomous driving, collaborating with cross-functional teams and mentoring engineers for technical excellence.

Lead the development of AI Assistant capabilities, collaborating with cross-functional teams to define product specs and strategies while driving the market readiness of innovative AI products.

Lead the development of the Assistant Store, partnering with teams to deliver AI-powered products and communicate the product vision effectively.

In this role, you'll scale and optimize a Generative AI product, develop product infrastructure, design API abstractions, optimize conversational features, ensure coding quality, and collaborate with cross-functional teams.

The Software Engineer will scale and optimize Generative AI products, develop scalable APIs, improve system performance, and collaborate with cross-functional teams to enhance the conversation engine.

The role involves leading AI agent system engineering, implementing cutting-edge AI algorithms, and mentoring team engineers. Responsibilities include enhancing products using machine learning and collaborating with various departments to create impactful AI solutions.

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.