Artificial Intelligence Jobs in Sunnyvale, CA

The role involves conducting research at the intersection of AI and biology, focusing on generative AI and developing deep learning models. Candidates should have expertise in software engineering practices, industry experience, and contributions to high-impact AI/ML research.

Lead AI/ML software projects, coordinate with engineers, improve processes, and develop AI applications. Collaborate with cross-functional teams for innovative solutions.

Lead AI/ML software projects, coordinating engineers, making technical decisions, and enhancing systems. Focus on AI solutions and Full Stack development with front-end and backend technologies.

Lead research on biological foundation models, collaborate with partners, design experiments, mentor researchers, and communicate outcomes in AI for biology.

Lead the design strategy for AI products, creating intuitive user experiences for AI-powered tools. Mentor designers and innovate new AI-native products.

Lead the design and implementation of AI-powered solutions, ensure quality and performance optimization, mentor engineers, and drive innovation across enterprise functions.

This role involves designing scalable datacenter solutions for AI systems, collaborating with experts, and crafting optimized cluster architectures for enterprise environments.

The Partner Development Manager will develop Conviva's partner ecosystem, focusing on identifying and scaling partnerships that drive co-sell opportunities and enhance partner solutions.

Manage AI infrastructure software development, mentor engineers, collaborate across teams, and develop scalable solutions for NVIDIA's LLM and AI applications.

Lead Developer Relations Managers to drive adoption of generative AI solutions. Engage with partners, co-design technical solutions, and support product launches. Requires extensive software development experience and technical collaboration across teams.

Design and build core components for engineering productivity platforms, focusing on AI-accelerated systems, software development, and overcoming engineering challenges.

The Staff Cloud Backend Engineer will enhance cloud infrastructure and system efficiencies while architecting scalable services, improving performance, and solving complex problems in cloud environments.

Research Scientists at X will apply AI/ML in diverse projects, focusing on LLMs and Transformers, and mentor team members while leading research initiatives.

The role involves developing ML technologies using large language models, optimizing workflows, and collaborating with cross-functional teams to deliver impactful solutions.

The role involves applying advanced ML techniques to climate problems, prototyping solutions, collaborating with teams, and attending technical talks. Candidates should have a PhD in a related field and experience with deep learning, atmospheric models, and be proficient in Python.

The AI Operations Engineer Intern will manage AI/ML infrastructure, automate deployments, monitor performance, and ensure operational efficiency of AI systems.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

Lead a team to develop generative AI for synthetic data in autonomous driving. Manage ML engineers, oversee model production, and establish KPIs.

The Senior Software Engineer will prototype and develop full-stack applications for AI Vision, collaborating across teams and mentoring junior members.

The Director of Engineering, AI Infrastructure will lead AI/ML initiatives, define strategic roadmaps, oversee infrastructure delivery, and drive MLOps best practices to support the company's transformation into an AI-native insurer.

The Lead Software Engineer will build AI-integrated systems for healthcare delivery, focusing on clinical summarization, patient risk prediction, and AI-powered coordination within a fast-paced team environment.

Lead the design and implementation of AI-driven networking solutions, mentor teams, and analyze complex data to improve network performance.

Build infrastructure for AI applications, improve efficiency of distributed AI workloads, and collaborate with cross-functional teams at Databricks.

Lead the AI enablement team, collaborating with cross-functional partners to develop tools and refine product requirements while mentoring engineers.