AI Application Engineer

About This Role

An AI Application Engineer on a team that develops custom silicon solutions will help power Google's direct-to-consumer products. This role contributes to the innovation behind products loved by millions worldwide, shaping the next generation of hardware experiences by delivering unparalleled performance, efficiency, and integration.

Responsibilities

• Design and develop robust toolchains to support and accelerate multimedia AI activities
• Develop specialized AI agents and orchestration architectures to work together seamlessly on complex goals
• Implement, deploy, and scale multimedia Machine Learning (ML) pipelines across Google Cloud and edge devices
• Optimize machine learning models for improved performance, latency, and deployment efficiency

Requirements

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
• 8 years of experience with software development and engineering
• Experience coding in one or more general-purpose programming languages (e.g., Python and C++)
• Experience with Machine Learning frameworks (e.g., TensorFlow, PyTorch, or JAX)
• Experience implementing, deploying, and maintaining machine learning models and pipelines in production environments

Nice to have:

• Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Experience with multimedia applications, video processing, or computer vision ML tasks
• Experience building and scaling ML pipelines on cloud infrastructure (e.g., Google Cloud Platform) and deploying optimized models to edge devices (e.g., mobile, embedded systems)
• Experience with model optimization techniques for performance and latency reduction (e.g., quantization, pruning, hardware-aware tuning)
• Familiarity with AI agent architectures, large language models (LLMs), or orchestration systems (e.g., LangChain, AutoGen)
• Strong understanding of distributed systems, system architecture, and toolchain development for engineering teams

Important Details

• In most instances, this position requires in-person interviews as part of the hiring process

About the Company

Google's mission is to organize the world's information and make it universally accessible and useful. The team combines the best of Google AI, Software, and Hardware to create radically helpful experiences, researching, designing, and developing new technologies and hardware to make computing faster, seamless, and more powerful. They aim to make people's lives better through technology.