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

Job in Kirkland, King County, Washington, 98034, USA
Listing for: Google
Full Time position
Listed on 2025-12-27
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer, Software Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 166000 - 244000 USD Yearly USD 166000.00 244000.00 YEAR
Job Description & How to Apply Below

Senior Software Engineer, Generative AI/ML, Search Ads

Join the Google team as a Senior Software Engineer, Generative AI/ML, Search Ads, based in Mountain View, CA or Kirkland, WA. This role focuses on large‑scale recommendation systems, ML infrastructure and generative AI techniques for search advertising.

Location

Mountain View, CA, USA;
Kirkland, WA, USA

About the job

Google's software engineers develop next‑generation technologies that scale to billions of users. This position involves designing and implementing recommendation systems models, leveraging machine learning infrastructure, and working with large‑scale data. You will also fine‑tune large language models for ads applications across our product portfolio.

Responsibilities
  • Write and test production‑grade code for product or system development.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
  • Contribute to documentation and educational content, adapting it based on product updates and user feedback.
  • Design and implement recommendation systems models across domains, leveraging ML infrastructure.
  • Work with and fine‑tune LLMs for targeting, large‑scale retrieval, pseudo‑rater and other ads applications.
Minimum qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of software development experience with Python.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year in software design and architecture.
  • 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
  • 3 years of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging).
Preferred qualifications
  • Master’s degree or PhD in Computer Science or 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 or concepts.
  • Experience building products using ML techniques, including NLP.
Salary

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

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology and Engineering;
Industries:
Information Services and Technology, Information and Internet

Equal Employment Opportunity Statement

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. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Position Requirements
10+ Years work experience
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