Artificial Intelligence Jobs in Fremont, CA

The Product Manager will write specifications, collect feedback, analyze markets, manage product roadmaps, and support customer success teams.

Lead the AI Products team to develop various AI products, providing engineering leadership, driving product reliability, and overseeing hiring and team practices.

Develop and optimize AI infrastructure, including DataLoader SDKs and Dataset Management Systems, for large-scale model training and inference.

The AI Technologist will research, prototype, and evaluate emerging AI technologies, collaborating on solutions and assessing feasibility for industrial applications.

The Sales AI Program Director will define and implement Generative AI strategies for sales, develop training programs, and measure AI initiative outcomes.

The Finance Manager will partner with R&D teams to deliver financial insights, support forecasting and budgeting for AI products, and improve reporting practices.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

As a Research Engineer, you will tackle AI safety challenges, develop evaluation methodologies, conduct adversarial testing, and work on model alignment and interpretability. You'll bridge theoretical and practical applications of AI safety research and collaborate with product teams to implement safety solutions.

The Senior Product Manager will lead the transformation of self-service customer support using AI-powered solutions. This includes defining product strategy and collaborating with cross-functional teams to enhance customer experience and satisfaction.

The role involves providing AI solutions expertise, influencing product roadmaps, publishing content, and ensuring successful AI & ML implementations at Snowflake.

Manage the entire recruiting lifecycle, partner with hiring managers, optimize search strategies, and provide excellent candidate care and experience.

Adobe seeks a Senior Staff Applied Scientist to convert research breakthroughs into product features in AI, focusing on natural language, image and video generation.

The Growth Hacker Intern will design and operate AI-driven lead generation systems, integrate various platforms, and optimize outreach workflows. Responsibilities include building agents, crafting copy, and analyzing performance metrics.

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.

The Research Intern will design and implement advanced AI systems utilizing memory solutions, derive design requirements, and read research papers to implement findings.

Design AI memory and storage solutions, coordinate hardware/software integration, optimize architectures, and develop simulation environments for energy-efficient computing.