Senior Software Engineer, Machine Learning Infrastructure, Pixel Biometrics

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with data structures/algorithms and software development in one or more programming languages.
• 3 years of experience testing, maintaining or launching software products.
• 3 years of experience building and developing infrastructure, distributed systems or networks.
• 1 year of experience with software design and architecture.
• Experience with compute technologies, storage, or hardware architecture.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science or a related technical field.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

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. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and 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 and Services team is making people's lives better through technology.

• Build scalable systems to store machine learning data and to annotate data via Crowd Compute.
• Build a web platform for teams to build visualizations of machine learning system failures.
• Build tools for data collection proctors to collect data.
• Provide mentorship to other members of the team.
• Collaborate with clients at Google to ensure the requirements are met.