Artificial Intelligence Jobs in Sunnyvale, CA

Lead and mentor on large-scale HPC systems, develop GPU-accelerated solutions, support researchers, and optimize performance for AI workloads.

Design and implement evaluation pipelines for AI models, focusing on user feedback integration and performance optimization in consumer products.

As a Data Engineer at Sprinter Health, you will work on AI initiatives, leveraging your full-stack or backend experience in a startup environment to innovate and enhance healthcare access.

Lead the end-to-end campaign lifecycle for strategic GTM initiatives in the cybersecurity and AI B2B space, optimizing for conversion and measurable outcomes.

Assist in building dashboards, implementing analytics and AI tools, gathering requirements from stakeholders, and presenting findings in demos.

The Senior AI/ML Research Scientist will lead research in generative AI, designing algorithms, collaborating with teams, and publishing findings. Responsibilities include creating innovative models and mentoring junior staff.

The Video AI Engineer will enhance video codec standards, develop and optimize algorithms for video processing applications, and implement deep learning models across multiple platforms.

As a Video AI Engineer, develop impactful features using advanced video AI technologies, driving improvements in Zoom's product experience through R&D, and collaboration with experts.

The intern will contribute to AI use case development, prototype AI solutions, maintain project documentation, and collaborate with cross-functional teams.

As a Gilead intern, you will identify AI use cases, prototype AI solutions, maintain project documentation, and collaborate cross-functionally. You will also present your work at the conclusion of your internship.

As an intern, you'll help develop AI use cases, build prototype solutions, maintain project documentation, and engage with cross-functional teams.

The role involves deploying AI infrastructure solutions, advising clients on GPU and networking systems, and managing project opportunities, requiring extensive technical expertise and customer engagement.

Lead AI development by creating scalable Generative AI solutions, serving as a technical expert and supporting partners with architecture guidance and prototypes.

As an AI Applied Scientist at Snowflake, you will develop AI features improving developer productivity, design systems for testing and code review, and collaborate with engineering teams to enhance workflows.

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

The role involves designing and implementing AI solutions, collaborating with customers and teams, and managing enterprise software integration, requiring advanced technical knowledge and communication skills.

Design innovative user experiences for the Gemini App, focusing on growth and discovery initiatives, collaborating with cross-functional teams and enhancing user engagement.

The AI Developer Intern will design and develop AI agents, implement RAG models, fine-tune open-source models, collaborate with teams, and optimize AI systems.

Develop applications for machine learning and generative AI technologies, automate data analysis, and collaborate on prototyping solutions for semiconductor testing.

Develop and optimize AI models for photography and video applications, translating code from Python to C++, and deploying on various platforms.

Drive adoption and understanding of NVIDIA's AI models through technical marketing, creating content, and engaging with developers and customers.

NVIDIA is seeking a Senior AI MLOps Engineer to develop training for partners on AI and MLOps, focusing on effective deployment and support of NVIDIA AI infrastructure.

The role involves architecting and implementing AI agents for Supply Chain, ensuring integration with IT and Operations data, and driving technical feasibility through proof of concepts. It includes leading designs, mentoring teams, and promoting secure, reliable AI solutions.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

The Global Field Enablement Manager will develop training programs for sales and technical teams, focusing on NVIDIA's AI, visualization, and virtualization solutions, requiring strong collaboration and innovative content creation skills.