YouTube is a part of Google and is focused on developing technologies that change how users interact with information. The role involves building modeling infrastructure for high-performance machine learning solutions to enhance video understanding for YouTube Ads, ensuring effective ad targeting and innovative product directions.
Write product or system development code. Build modeling infrastructure to engineer high performance solutions at YouTube scale, specifically large-scale Machine Learning solutions for solving video understanding problems that impact many new and critical applications in YT Ads. Design, build, and maintain the infrastructure for our real-time brand annotation platform.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Lead collaborations with client teams, VIA infrastructure, ML research teams, and more.
Qualification
Required
Bachelor’s degree or equivalent practical experience.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage or hardware architecture.
2 years of experience in programming in C++ and Python, software engineering, infrastructure design, and machine learning infrastructure.
Preferred
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures or algorithms in either an academic or industry setting.
2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
Experience developing accessible technologies.
Experience in building large-scale machine learning or AI systems for real world applications.
Proficiency in code and system health, diagnosis and resolution, and software test engineering.
Benefits
Bonus
Equity
Benefits
YouTube is a platform for sharing and watching videos, including movies, music clips, and amateur content.
