Artificial Intelligence Jobs in Sunnyvale, CA

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

This role involves developing and implementing testing frameworks for ensuring reliability and performance of AI security controls across platforms. The engineer will expand test coverage and contribute to quality metrics for AI models.

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

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

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

The Chief of Staff partners with the SVP/GM to oversee initiatives, drive alignment across functions, and manage special projects related to AI and employee experience.

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

Lead product marketing for CoreWeaves Agentic AI platform: define positioning, messaging, GTM programs, sales enablement, partner GTM, customer evidence, thought leadership, and market intelligence to drive adoption of agentic AI infrastructure.

As a Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

The Staff Product Manager will own the strategy for AI-enhanced developer tools, driving adoption, coordinating across teams, and defining success metrics for AI workflows in the automotive sector.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Build and optimize AI/ML infrastructure and production-grade systems. Integrate AI solutions across platforms, implement scalable, secure deployments, validate and monitor models, and connect diverse data sources and SaaS tools via APIs.

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

Design, build, and productionize scalable agentic AI systems (agent orchestration, sandboxed execution, memory, latency optimization, knowledge graphs). Implement frontier AI architectures, collaborate with ML/security/product teams, mentor engineers, and deliver production-grade code and product improvements.

As a Solutions Architect at CoreWeave, you will lead technical engagements with customers, build tailored solutions, and collaborate with engineering to enhance products in AI and cloud infrastructure.

Lead end-to-end machine learning solutions for autonomous driving, mentor engineers, design advanced models, and ensure safety and reliability in diverse scenarios.

Develop and deploy machine learning solutions for autonomous vehicles, mentoring engineers and collaborating on model implementations.

Lead the design, implementation, and deployment of scalable ML infrastructure for autonomous driving. Drive technical projects, mentor others, and collaborate with teams to enhance ML workflows.

The Senior AI/ML Engineer will enhance developer productivity by improving Python workflows, leading projects, mentoring engineers, and driving best practices.