Bachelor's degree or equivalent practical experience.
5 years of software development experience in one or more programming languages.
3 years of experience in testing, maintaining, or launching software products, with 1 year in software design and architecture.
3 years of experience in Speech/audio technology, reinforcement learning, ML infrastructure, or another ML specialization.
3 years of end-to-end Machine Learning experience, including model deployment and debugging.
Responsibilities
Write and test product or system development code.
Triage and debug product or system issues, analyzing their impact on operations and quality.
Develop LiteRT, Google's on-device AI framework for hardware acceleration on edge platforms.
Enable on-device deployment of key models across various accelerators on Android and Chrome.
Optimize on-device model inference performance through model conversion and runtime improvements.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and holidays.
Retirement savings plans with company matching.
Access to professional development resources.
Flexible work arrangements.
Full Job Description
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures and algorithms.
Experience with on-device ML SDKs/tooling (e.g., TensorFlow Lite, ExecuTorch, Core ML, SNPE/QNN).
Knowledge of ML converters/compilers, and hardware-accelerated ML inference techniques and proficiency in ML frameworks (e.g., PyTorch, JAX, TensorFlow).
Understanding of Generative AI model architectures and their optimization for on-device execution.
Responsibilities
Write and test product or system development code.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Develop LiteRT, Google's on-device AI framework for 1P and 3P, enabling SOTA hardware acceleration and use cases on edge platforms
Enable on-device deployment of key models, such as Gemini Nano and Gemma, across various accelerators (GPU / Pixel TPU / NPUs / CPU) on Android, Chrome, and more.
Improve performance of on-device model inference via optimizations in the model conversion, on-device runtime and kernel implementation.
LiteRT is Google's next generation on-device AI framework, succeeding TensorFlow Lite (TFLite). It is designed to maximize the performance, efficiency, and portability of ML models on a wide array of edge devices, from mobile phones to embedded systems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
