Artificial Intelligence Jobs in Fremont, CA

Design and implement AI-powered payment solutions, focusing on backend architecture, agent workflows, and cross-functional collaboration with product and design teams.

The Director of Engineering, AI Enterprise will lead the AI Solutions team, design AI/ML products, and engage with fortune 100 clients to deliver impactful solutions.

Join the Snowflake team to design, implement, and optimize machine learning systems that impact developer productivity and platform efficiency. Collaborate with diverse teams on ML tools and infrastructure while enhancing software engineering practices.

As a Memory Innovation Engineer, you will develop strategies for memory technologies, collaborate with partners, and influence industry direction in advanced AI and cloud applications.

Lead and manage the development of innovative AI solutions for content safety at Roblox, overseeing machine learning systems and engineering teams.

The Product Marketing Manager will develop go-to-market strategies for AI products, create marketing materials, and engage with developers and audiences to promote NVIDIA's AI software solutions.

As a Principal AI Engineer, you'll design scalable AI systems, mentor teams, develop large-scale LLMs, and optimize AI-driven cybersecurity solutions.

The Principal AI Architect will define and lead the AI architectural strategy for the Intelligent Cloud platform, focusing on scalable, integrated solutions, mentoring teams, and collaborating across functions to innovate and optimize performance.

The role involves optimizing AI infrastructure performance, collaborating with teams, conducting benchmarks, creating tutorials, and presenting at conferences.

Lead AI/LLM engineering team, develop scalable LLM systems for content moderation, manage team performance, and align solutions with strategic goals.

Develop and optimize LLM-driven solutions for content moderation, partnering with teams for model training and improving real-world AI applications.

Design intuitive AI user interfaces, drive product strategy, innovate through user-centered design, and craft visually compelling interfaces for the Gemini App.

Lead a team of software engineers at Google DeepMind, driving technical strategy for the Gemini API, ensuring scalable and high-performance AI solutions, and providing hands-on development and mentorship.

As a Senior Staff Engineer, you will lead engineering teams, provide technical solutions, mentor junior members, and drive quality in enterprise applications with focus on voice technologies.

The Staff Engineer leads engineering teams to develop high-quality enterprise-class applications, mentoring junior members and ensuring the usability and performance of solutions.

As an Applied AI Engineer, design and build intelligent AI systems, manage data ingestion layers, and ensure security while scaling AI infrastructure.

The AI Engineer will develop AI/ML solutions for Fortune 500 legal teams, ensuring integration and optimization of systems while maintaining security standards.

As an Augmented AI Engineer, you will deploy and optimize AI solutions, working directly with clients to ensure integration and performance.

The Sr. AI/LLM Infrastructure SW Engineer will develop AI models, lead architectural evaluations, and define AIOS solutions in vehicles, necessitating teamwork and strategic planning.

As a Product Manager for GRC AI Agents, you will define and build intelligent AI solutions for Governance, Risk, and Compliance, collaborating closely with customers and internal teams to reimagine compliance workflows.

Responsible for architecting AIOS solutions, leading proof-of-concepts, collaborating with engineering teams, defining roadmaps, and delivering project requirements.

Architect technical solutions for AIOS, lead proof-of-concept developments, define AIOS evolution roadmap, and ensure high-quality implementation with engineering teams.

Lead the development of AI systems for Governance, Risk, and Compliance, focusing on model accuracy and responsible AI design.

As an AI Engineer, you will develop AI algorithms, design LLM-powered agents, optimize inference techniques, and create data pipelines for real-world applications.

As an Applied AI Engineer, you will create AI systems for Governance, Risk, and Compliance, focusing on accuracy, innovation, and responsible design.