Research Engineer, Ads AI

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.

As a key member of the Ads AI team within Search Ads Quality, you will design and implement AI innovations that directly improve core Search Ads products. Our work has consistently led to high-impact launches and research published at leading global conferences. You will operate at the intersection of AI research and large-scale product application, enjoying the agility of a start-up environment backed by Google's resources.

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

US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 2 years of experience with generative AI techniques (e.g., LLMs, RL/SFT on models, Agentic AI, Multi-Modal, etc.) or concepts (language modeling, computer vision).

Preferred qualifications:

• Master's degree or PhD in Computer Science, or related technical fields.
• 5 years of experience with data structures and algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  
• 1 year of experience in a technical leadership role.
• Experience in statistical modeling, ML or mathematical modeling in industry or in academia.
• Experience in ads.