Minimum qualifications:- 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, and 1 year of experience with software design and architecture.
- Experience with computer vision, imaging, or augmented reality platforms.
Preferred qualifications:- Master's degree or PhD in Computer Science, or a related technical field.
- 5 years of experience with data structures and algorithms.
- 2 years of experience writing Computer Vision software.
- Experience with Machine learning and Data science.
- Experience with camera sensor pipelines and imaging science.
- Familiarity with Human direction and eye movements research.
About the jobIn this role, you will be expected to design and implement computational eye models that deliver system Key Performance Indicators (KPIs), by leveraging scientific knowledge from human direction literature and data statistics. You will work across different engineering teams, including ML/perception, synthetics, human direction, etc.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities - Research and develop eye models for tracking and synthesizing eye motion from multimodal inputs.
- Work with data collection and synthesis teams to gather and synthesize high-quality eye data. Integrate eye models into synthetics pipelines, validate results.
- Optimize models and algorithms to run on low-power XR devices in real time. Propose KPIs and metrics, incorporate user feedback into the algorithm and model design.
- Be able to work alongside other software engineers and goal scientists to deliver production-ready models and pipelines. Communicate, design, and implement decisions effectively through architecture/design documents and code.
- Review code developed by other developers and provide feedback to ensure best practices. Contribute to the overall efficiency and productivity of the engineering team through code, process enhancements, and software development workflow improvements.
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