Software Engineer III, AI/ML, Offline Ads

SOFTWARE_ENGINEERING
USA
مارس 26, 2026
FULL_TIME

نظرة عامة على الوظيفة

  • تاريخ الإعلان
    مارس 26, 2026
  • الموقع
    USA
  • تاريخ إنتهاء الصلاحية
    --

المسمى الوظيفي

2026-03-09T21:36:01.156Z

101663322717201094

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Python, C++, or Java.
  • 1 year of experience with reinforcement learning (e.g., sequential decision making), or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with developing large-scale infrastructure.

Preferred qualifications:

  • Master’s degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience in ads serving, auctions, or bidding.
  • 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.

Offline Ads is a rapidly growing area which allows advertisers to grow foot traffic in their stores and manage their Omni Goals. This is a unique opportunity to contribute to an important aspect of this product and generate more value/growth towards our long term strategy.

This team presents the rare opportunity to work on product facing problems while diving deep into the highly technical stack of bidding and modeling combined with end-to-end large-scale distributed systems in a highly complex Ads ecosystem.

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.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

المسؤوليات

  • Write product or system development code.
  • Set up modeling solutions to better understand our advertisers, predict advertiser performance, and map existing inventory and add forecasting for businesses.
  • Experiment and iterate on new features, conduct data analysis while closely working with Product Managers, UX and Sales.
  • Develop innovative advertiser features and recommendations for offline goals and optimize for the best user experience and engagement.
  • Implement solutions using ML models, utilize ML infrastructure, and contribute to model optimization and data processing. 

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. See also Google’s EEO Policy and EEO is the Law. 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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