Software Engineer, Generative AI, Agentic Creatives Optimization, YouTube Ads

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (language modeling, computer vision).
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
  
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
  

About the job:

Google'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.

YouTube Ads is a billion dollar business and the fastest growing segment of Google's Ads. Our mission is to power the YouTube ecosystem by keeping it free and engaging for users, responsibility rewarding creators and connecting businesses to their unique audiences.

In this role, you will drive the mission to effectively connect businesses and users with the best creative technology. You will specialize in creative automation applications that drive advertiser value with minimal advertiser effort through leveraging the AI technologies.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Responsibilities:

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
  
• Implement GenAI solutions, utilize ML infrastructure, and develop machine learning models for creative generation and optimization. Contribute to data preparation and performance enhancements, working with technical leads to finalize designs.
• Implement and develop machine learning models and infrastructure for creative generation and optimization, working with TL to finalize the design.
• Participate in technical discussions and contribute to the team's engineering goals.
• Work with GenAI and ML models to create novel ad formats and experiences. Collaborate with product managers and other stakeholders to understand project requirements and deliverables. Debug issues and contribute to the overall stability and improvement of the team's infrastructures.