Staff Software Engineer, YouTube Ads Experiences (AI-Driven)

Google LLC

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

2 days ago

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Job summary

Google's Mountain View team is seeking a Staff Software Engineer for YouTube Ads Experiences to drive AI-powered ad experiences at scale. You will balance user experience with advertiser value and lead cross-team coordination in a fast-paced environment.

You will apply generative AI and Gemini models, design and deploy ML infrastructure, and influence architectural decisions while partnering with product and research teams to push the frontiers of online advertising.

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.

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.