Senior Software Engineer, Generative AI​/ML, Search Ads

Senior Software Engineer, Generative AI/ML, Search Ads

Join Google as a Senior Software Engineer in Generative AI/ML for Search Ads. You can choose to work in Mountain View, CA, USA or Kirkland, WA, USA
.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in software development with Python.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production and experience building architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience with data structures and algorithms.
• 3 years of experience working with very large data sets.
• 1 year of experience in a technical leadership role.
• 1 year of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• Experience in building products using Machine Learning techniques including Natural Language Processing (NLP).

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 are looking for engineers who bring fresh ideas from all areas—including information retrieval, distributed computing, large‑scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile—to help build innovative solutions that push technology forward.

The US base salary range for this full‑time position is $166,000–$244,000 plus bonus, equity, and benefits.

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback.
• Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design.
• Work with and fine‑tune LLMs for targeting, large‑scale retrieval, pseudo‑rater, and other Ads applications.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Learn more about the benefits at Google.