Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Products need to handle information at massive scale, and extend well beyond web search. YouTube works at the intersection of cutting-edge technology and boundless creativity, moving at the speed of culture with a shared goal to show people the world.
Requirements
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
- Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.
Other
- Mountain View, CA, USA; San Bruno, CA, USA
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical fields.
- US base salary range: $141,000-$202,000 + bonus + equity + benefits.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
