Software Engineer III, ML Infrastructure, Pixel
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience with data structures or algorithms in either an
academic or industry setting. - Experience coding in one or more of the following programming languages (e.g., C, C++, Java, Python, Go).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
- Experience developing accessible technologies.
- Proficiency in code and system health, diagnosis and resolution, and software test engineering.
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 Pixel Biometrics team provides seamless biometric authentication for the Pixel lineup of devices. We have delivered NIR (Near-infrared) face authentication and developed the world's most secure RGB face authentication using commodity hardware. We work on the cutting edge of ML, data science and engineering to provide users with secure, privacy-preserving and useful AI features.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
Responsibilities
- Develop large scale data ingestion and processing pipelines.
- Build systems to fine-tune, evaluate, and visualize the performance of ML systems.
- Handle releasing face authentication model drops for in-market and unreleased Pixel devices.
- Expand existing authentication infrastructure stack to support other devices and ML teams.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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