Senior Staff Engineer, YouTube Shorts Ranking, Core Modeling

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure, including model deployment, model evaluation, data processing, debugging, and fine-tuning.
• 5 years of experience with design and architecture, and testing and launching software products.
• 5 years of experience building and deploying recommendation system models—retrieval, prediction, ranking, and embedding—in production.
• Experience building architecture in different modeling domains.

Preferred qualifications

• Master’s degree or PhD in Computer Science, Machine Learning, Computer Engineering, or a related highly technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

About the job

This role develops next-generation technologies that operate at massive scale. The engineer will work on a project critical to the product, bring ideas across areas such as information retrieval, distributed computing, large-scale system design, data storage, artificial intelligence, and machine learning, and demonstrate versatility and technical leadership.

The team is building a new short-form video experience for creating and consuming videos, helping creators connect with their viewer communities within the app. The work focuses on enabling viewers to access fresh short-form content from favorite creators and discover new channels.

Responsibilities

• Bring ideas to optimize the Shorts feed for better user experiences, new use cases, and overall product quality.
• Build large-scale machine learning models, training infrastructure, and quality evaluation; design ML architecture.
• Work with data scientists, product managers, front-end engineers, and user experience designers to improve product quality.