info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
- Experience applying AI (Gemini, GenAI, LLM) towards solving real-world technical problems.
Preferred qualifications: - Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 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.
Responsibilities - Facilitate alignment and clarity across teams on goals, outcomes, and timelines, and influence and coach a distributed team of engineers.
- Leverage AI strategically to solve complex layout and interaction problems, using it or not for its own sake but to build smarter, more adaptive products.
- Partner directly with YouTube's "Organic" product teams to re-envision the app experience, going beyond simply adding ads by helping build step-function changes to how users interact with the YouTube App.
- Lead the effort to reduce friction between an ad and its destination, owning the full-stack, from deep infrastructure and foundation layers to the application-level UI.
- Drive the next-generation of ad experiences, especially on Consumption Surfaces (Watch, and Shorts surfaces, account for 87% YT ads revenue), by optimizing existing inventory and innovating new experiences to meet evolving user and advertiser needs.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
