Improving ads personalization and relevance across YouTube Ads, Discover, Gmail, Search Ads and Display Ads by developing the next generation of user modeling platforms
Requirements
- 8 years of experience in software development
- 3 years of experience in AI/ML related engineering, developing, deploying, managing, and maintaining machine learning infrastructure
- Experience building end-to-end solutions either in an infrastructure or product-based team
- Experience building and testing highly-scalable distributed systems or low-latency/streaming batch systems
- Experience working in the digital advertising industry
- Experience with user profiles and features generated through user modeling infrastructure
- Experience with large-scale system design, networking, security, data compression, user interface design
Responsibilities
- Collaborate with other executive leads across the organization (e.g., YouTube Ads, Discover, Gmail, etc.) to execute the ambitious personalization roadmap
- Lead the evaluation, scoping, and execution of high-impact, time-sensitive projects
- Deliver technical work, including design and coding
- Design and propose simple, maintainable solutions for ambiguous, subtle, or technical problems
- Mentor and provide direct technical leadership to various software engineers within the team
- Contribute to improving ads personalization and relevance, one of the highest priority work streams across Google Ads
- Work on the Personalization and User Modeling Infrastructure, an end-to-end user modeling platform used by all ads serving systems impacting business generation
Other
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
- 2 years of experience in a people management or team leadership role
- Ability to take full ownership and execute highly-visible projects
- Collaborating with cross-functional teams in a global organization and managing stakeholders
- Must be authorized to work in the United States
