Staff Software Engineer, AI/ML, YouTube Ads
Google · Mountain View, CA
About this role
Google is hiring a staff-level Software Engineer based in Mountain View, CA. The posting calls out experience with TensorFlow, Deep Learning, Reinforcement Learning, Data Structures. Compensation is listed at $207,000–$300,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Mountain View, CA
- Posted
- May 12, 2026
More roles at Google
Job description
from Google careersGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
In this role, you will focus on revolutionizing how ad creatives are composed, personalized, and optimized at scale using artificial intelligence/machine learning techniques. You will develop intelligent systems that enhance the relevance and performance of Ad creatives served to billions of YouTube users. Your work spans deep learning, reinforcement learning, generative artificial intelligence, and large-scale serving platforms to power the next generation of ad creative experiences.