About the position
Our team aims to invent and develop amazing innovative experiences for the users of Pixel phones and Google Photos. We use computational photography and machine learning to produce new kinds of pictures, videos, and photographic experiences. Our goal is to make pictures/videos with very high quality that are also engaging, fun, or magical - images that astonish people. Our technologies typically combine 'classical' vision and graphics with deep learning. We then optimize our algorithms to run fast on mobile devices or efficiently on servers, where hardware capabilities are limited. We work with several product teams, including the Google Camera App team and Google Photos, and collaborate extensively with other research teams. We focus on technologies that can be launched within 1-2 years and shift to be implemented on hardware for even longer term impact across Google. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
- Write and test product or system development code.
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
- Invent and develop innovative AI features for images and photography, creating magical and innovative user experiences.
- Conduct end-to-end work from research to product development within the images, camera, and video domains, and applying innovative research in vision/graphics/ML.
- Develop cutting-edge technologies to revolutionize the representation, editing, and creation of visual media, with a focus on computational photography and videography.
Requirements
- 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.
- 1 year of experience with software design and architecture.
- 3 years of experience with computer vision and image processing.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Nice-to-haves
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- Experience in machine learning or neural networks.
- Experience with Natural Language Processing.
- Strong programming skills in C/C++, Python.
Benefits
- Bonus
- Equity
- Health benefits
