Senior AI Engineer, Computer Vision and Applied ML
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in ML application, applied research, production, ISP processing, Android application, desktop program, web based APP development.
- Experience in the end-to-end product development lifecycle for mobile phones, particularly concerning camera features.
- Experience in programming languages such as C++, Python, Kotlin, Typescript, TensorFlow, Jax for image processing and automation tasks.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- 6 years of experience in computer vision or image processing algorithms, with significant contributions to mobile camera application development, camera or video related Android application development.
- Familiarity with the AI application integration and ML model fine tune and optimization.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As the Senior AI Engineer you will bridge the gap between model research and end-user application. You will not only fine-tune state-of-the-art models for our specific domain but also build the actual web and mobile interfaces that put this technology into the hands of our users.
You will work with teams to establish the AI pipeline from data curation to edge deployment, creating immersive camera-based experiences that provide real-time instructions and feedback.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
- Implement real-time inference loops, or on-device mobile inference engines. Develop "live instruction indicators", and create AR-style overlays and visual guides on the live camera feed to direct users (e.g., "move camera left," "hold steady," "object detected").
- Handle camera lifecycle management, ensuring smooth frame capture and processing without draining battery or freezing the UI.
- Be able to fine-tune foundation models specifically for multimedia use case.
- Optimize models for edge deployment (quantization, pruning, distillation) to ensure low latency on mobile devices and web browsers.
- Bridge the gap between applied research and production by converting high-level ML concepts into deployable, hardware-aware solutions.
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