Artificial Intelligence Jobs in Santa Clara, CA

As an AI Platform Engineer at Roblox, you will build AI/ML data infrastructure and systems to support scalable applications across recommendations, social insights, and fraud detection.

The Lead/Senior Software Engineer will architect and develop scalable AI tools, collaborate across teams, mentor juniors, and drive innovation in AI applications.

Lead the design and implementation of GPU compute clusters for AI and HPC workloads, managing infrastructure and optimizing performance.

As a Frontend Senior Software Engineer, you'll develop and implement features for Adobe's AI-focused applications, ensuring code quality while collaborating across teams.

Lead the design and delivery of user-facing AI features in Protegrity's products. Validate new features through market research, ensure compliance with security standards, and enhance user satisfaction.

The Senior Director of Applied AI Engineering will lead AI application development in drug development, focusing on generative AI and ML integration across departments.

The Sr. Machine Learning Engineer at Zscaler will build and implement AI features, design resilient microservices, and ensure operational excellence in digital experiences.

Design and build AI infrastructure for robust dataset generation and model evaluation, collaborating with research and autonomy teams.

The Distinguished Engineer will lead the architecture of AI-powered security solutions, focusing on large-scale data systems, security analytics, and influencing product strategy as a technical leader.

Develop infrastructure and tools to enhance Generative AI technologies, collaborate with cross-functional teams, and mentor junior team members.

Lead the development of FPGA design platform Quartus, delivering front-end EDA tools and enhancing FPGA design through AI technologies. Manage a large engineering team and promote innovation and technical excellence.

As an Investor for AI Tools, you will build AI systems to streamline data collection and improve decision-making through pattern recognition and strategic alignment with Samsung's business goals.

The role involves research on training models for web indexing. You'll apply your deep knowledge of search and transformer models in a product context.

The Sales Engineer role involves assisting the sales team by providing technical expertise, building solutions, and addressing customer challenges with Nanonets' AI/ML product.

Develop and train advanced generative models for synthetic data generation to enhance Zoox's autonomous driving capabilities. Collaborate across teams and validate models using real-world scenarios.

Research scientist specializing in robotics and AI, focusing on developing algorithms, conducting research, and implementing learning-based manipulation and control methods.

The role focuses on researching and developing AI-based methodologies and simulation tools for autonomous vehicle algorithms, ensuring effective evaluation and scenario generation.

As a Solutions Architect, you'll assist customers with implementing AI and ML solutions, engage directly with clients, and drive technology solutions based on NVIDIA's offerings.

The role involves creating demos, engaging with the Jetson community, conducting competitive analysis, and benchmarking software performance.

The Senior Engineer will innovate and develop AI/ML solutions using Java to enhance customer experiences and exceed expectations.

The Senior Engineer will work on Java and AI/ML projects, driving innovative solutions to enhance customer experiences and operational efficiency.

Develop AI prompts for customer engagement, manage conversations, and collaborate with engineers. Requires 3+ years in NLP/AI/ML development.

Design, develop, and implement large language models for complex business challenges. Collaborate with teams to integrate ML into products and monitor model performance.

As an AI/ML Intern, you will design machine learning algorithms, develop deep neural networks, and work with various sensor technologies, enhancing autonomous robots performance.

The Solutions Architect will support customers in deploying GPU-accelerated ML solutions on cloud platforms and provide technical mentorship, enhancing AI inference pipelines, and collaborating with engineering teams to optimize deployments.