Artificial Intelligence Jobs in Fremont, CA

Adobe seeks Applied Scientists in Generative AI to develop large foundation models for various media modalities, collaborating with teams to enhance product capabilities.

The role involves conducting research in Generative AI, developing technologies, collaborating with teams, and publishing work in scientific venues.

Design and implement deep learning algorithms for computer vision applications, utilizing C++ and Python. Lead neural network development for robotics challenges and automate training pipelines.

Develop deep learning models for computer vision, design training pipelines, and collaborate to integrate models into production.

Design and implement infrastructure for deep learning model training and deployment in self-driving trucks, optimizing performance and metrics tracking.

The role involves developing multimodal AI models that integrate various sensor data, optimizing for efficiency, and enhancing AI adaptability through research and model refinement.

Develop generative AI models, implement various techniques for decision-making, and optimize pipelines for improved adaptability and robustness in AI systems.

The Senior Software Engineer, AI/ML will develop scalable data streaming solutions, integrate AI capabilities, collaborate with teams, and mentor junior engineers.

Design, develop, and optimize hardware architecture for next-gen AI memory solutions, ensuring seamless HW/SW integration and performance analysis.

The AI/HPC System Architect will design advanced AI and HPC systems, leveraging memory solutions, guiding architecture, and collaborating with stakeholders for proof of concept.

Lead AI initiatives at BillionToOne, developing strategies and delivering solutions that integrate Generative AI into enterprise operations. Oversee multiple AI projects and ensure strategic alignment with business goals.

As an AI Researcher, you'll advance generative AI by enhancing models' efficiency, accuracy, and scalability, collaborating with experts in deep learning and optimization.

As a Training Infrastructure Engineer, you'll design and optimize scalable infrastructure for large-scale AI model training and collaborate with researchers on training methodologies.

As a Senior Solutions Architect, you'll build end-to-end AI applications, guide partners in deploying solutions, and develop prototypes using NVIDIA's platforms.

As a Developer Relations Manager, you'll build relationships with partners, support developers, provide technical guidance, and drive AI product adoption.

The AI Support Engineer will troubleshoot customer issues, escalate problems, document solutions, and contribute to product testing and automation.

Manage the development and implementation of NVIDIA AI Software Solutions for OEMs, ensuring successful project delivery by leading multi-functional teams and aligning with client needs.

Manage the entire recruiting life-cycle focusing on technical roles, build relationships with hiring managers, and ensure an equitable hiring process.

The role involves engineering solutions for GPU clusters, reducing operational disruptions, and empowering researchers in ML model training and deployment.

Lead the design and development of AI-powered systems for cybersecurity applications while mentoring engineers and driving technical strategy.

The Staff Data Scientist will lead the design and development of Game Understanding Agents using machine learning methods, mentoring engineers and setting technical direction.

As an IT Systems Engineer at Everlaw, you will enhance employee IT experiences by managing cloud-based infrastructure, supporting Atlassian tools, and implementing AI solutions.

The Vice President of GenAI Engineering will lead global teams in developing advanced AI solutions, shaping the strategy for AI initiatives, and ensuring security and ethics in AI products.

Lead design and implementation of AI solutions for various enterprise functions, optimizing systems for performance and collaborating with cross-functional teams.

The Senior Software Engineer will address challenges in healthcare logistics, optimize scheduling for mobile clinicians, and integrate technology with medical devices.