Google is seeking a Senior Software Engineer to join their ChromeOS On-Device Machine Learning team. This role focuses on developing and optimizing machine learning and generative AI models for ChromeOS devices. The position combines deep technical expertise in ML with practical implementation skills, working on model quality, compilation, and API development for user experiences.
The role involves working with various compute platforms (CPU, GPU, NPUs) across laptops and tablets, requiring expertise in ML modeling, neural networks, transformers, and GenAI. The successful candidate will be responsible for optimizing model performance, implementing fine-tuning techniques, and ensuring efficient model deployment across Chrome OS devices.
ChromeOS's mission is to provide universal access to computing through fast, secure, and intelligent solutions. This position offers the opportunity to work on cutting-edge ML technologies while impacting billions of users. The team collaborates across various departments to optimize power usage, compute efficiency, and memory footprint of ML models.
The ideal candidate should have strong experience in software development, ML infrastructure, and performance optimization. Knowledge of ML frameworks, on-device deployment, and hardware-accelerated ML inference techniques is highly valued. This role offers the chance to drive innovation in on-device ML while working with industry-leading technologies and frameworks.