Software Engineer, YouTube Ads Marketplace Optimization

Staff Software Engineer, You Tube Ads Marketplace Optimization

Mountain View, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.
• 5 years of experience with ML design and ML infrastructure (model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience integrating generative AI tools or LLM interfaces into workflows.

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/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.

Google’s software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact. As a staff software engineer on the You Tube Ads Marketplace Optimization team, you will lead a team of ML/AI/SW engineers to grow the You Tube Ads business by building user‑interest models and recommendation systems that align ads with user interests. You will design, develop, and deploy large‑scale AI systems that model commercial interests using Google‑wide data sources approved for advertising purposes, support multi‑task learning across surfaces, and enable downstream tasks such as retrieval, user action prediction, and knowledge distillation.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $207 000 – $301 000 (USD) + 20% bonus target + equity + benefits

• Design, develop, test, deploy, maintain, and enhance large‑scale software solutions.
• Provide technical leadership on high‑impact projects. Manage project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
• Lead the design and implementation of recommendation systems, optimize ML infrastructure, and guide the development of model architecture.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google’s EEO Policy.