Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
- 2 years of experience with machine learning algorithms and tools, artificial intelligence, deep learning and camera related domains, eg. computational photography.
- Master's degree or PhD in Computer Science or related technical fields.
- Experience or education in Computer Vision, Machine Learning, or Graphics, including the productization of models or related publications.
- Experience in one or more general purpose programming languages including C/C++, Python.
- Experience in 3D rendering engines (e.g. unreal, unity) or robotics and experience in Google Infrastructure (e.g. borg/flume).
- Experience in real-time performance optimization.
- Excellent communication skills.
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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.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Responsibilities
- Work with camera leads and research teams to design and develop state-of-the-art algorithms and Machine Learning models on video quality improvement/enhancement/assessment (e.g. stabilization, video deblurring, denoising, super resolution, novel view synthesis, motion tracking and video understanding) for Pixel phones.
- Deliver the quality solutions, you will drive/conduct Research and development optimization and integration with partner teams, e.g. system/hardware/sensor/Phoxel engineers and videographers.
- Work with Engineering leadership and Program Managers to define future directions on video quality, and collaborate with various teams across Google to define/improve pipeline, architecture, and specs to enable new video features.