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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in programming languages such as C++, Python, Kotlin, Typescript, TensorFlow, Jax for image processing and automation tasks.
- 3 years of experience in Image Signal Processor (ISP) processing, Android application, desktop program, Machine Learning (ML) application, web based app development.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Science, Image Processing, Machine Learning, or a related field.
- 8 years of experience in image processing algorithms, with significant contributions to mobile camera application development, camera or video related Android application development.
- Familiarity with the end-to-end product development lifecycle for mobile phones, particularly concerning camera features.
- Familiarity with the AI application integration and ML model fine tune and optimization.
About The Job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will bridge the gap between model research and end-user application. You will not only fine tune models for our specific domain but also build the actual web and mobile interfaces. 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
- Build responsive web apps and mobile apps to host the AI models, and develop a video analysis viewer that allows side-by-side comparison of input video vs processed output to visualize model performance.
- Design and implement the interaction I/O interface, ensuring intuitive user inputs and clear, actionable AI outputs.
- Implement real time inference loops or on-device mobile inference engines and develop live instruction indicators using Augmented Reality (AR) style overlays and visual guides to direct users on live camera feeds.
- Manage camera lifecycle management to ensure smooth frame capture and processing without draining battery or freezing the UI.
- Modify foundation models specifically for multimedia use cases and optimize models for edge deployment (quantization, pruning, distillation) to ensure low latency on mobile devices and web browsers.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
