Software Engineer, Computer Vision and Applied ML, Silicon

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another

• Build responsive Web Apps and Mobile Apps to host the AI models
• Develop a Video Analysis Viewer that allows side-by-side comparison of "Input Video" vs. "Processed Output" to visualize model performance
• Implement real-time inference loops, or on-device mobile inference engines
• Develop Live Instruction Indicators, create AR-style overlays and visual guides on the live camera feed to direct users (e.g., move camera left, hold steady, object detected)
• Develop foundation models specifically for multimedia use cases. Optimize models for edge deployment (Quantization, Pruning, Distillation) to ensure low latency on mobile devices and web browsers

• Bachelor’s degree or equivalent practical experience
• 2 years of experience with software development in one or more programming language (C++ or Python)
• Preferred qualifications: Master’s degree in Electrical Engineering, Physics, Mechanical Engineering, Computer Science or a related field
• Experience across multiple development domains, including ISP (Image Signal Processor) processing, Android application development, Desktop program development, Machine Learning application development, and Web-based application development
• Experience with the end-to-end product development life-cycle for mobile phones, particularly concerning camera features
• Experience with the AI application integration and ML model fine-tune and optimization

• Build responsive Web Apps and Mobile Apps to host the AI models
• Develop a Video Analysis Viewer that allows side-by-side comparison of "Input Video" vs. "Processed Output" to visualize model performance
• Implement real-time inference loops, or on-device mobile inference engines
• Develop Live Instruction Indicators, create AR-style overlays and visual guides on the live camera feed to direct users (e.g., move camera left, hold steady, object detected)
• Develop foundation models specifically for multimedia use cases. Optimize models for edge deployment (Quantization, Pruning, Distillation) to ensure low latency on mobile devices and web browsers

Google’s mission is to organize the world’s information and make it universally accessible and useful