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Software Engineer III, AI​/ML, YouTube Ads Bidding

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 147000 - 211000 USD Yearly USD 147000.00 211000.00 YEAR
Job Description & How to Apply Below

Software Engineer III, AI/ML, You Tube Ads Bidding

Mountain View, CA, USA

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Qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Python or C++.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience building or leveraging ML models.
Preferred qualifications
  • PhD in a quantitative discipline such as computer science, engineering, mathematics, or physics.
  • 2 years of experience with data structures or algorithms.
  • Experience in an analytical or quantitative field, like optimization, data science, or machine learning.
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.

The nature of our work requires a large degree of analytical skills to identify problems and solutions, as well as strong engineering skills to innovate on the infrastructure. Our projects are a mixture of engineering, machine learning and analytical work.

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 You Tube creators, with effective advertiser tools that deliver measurable results.

We also enable Google to engage with customers at scale.

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

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Key responsibilities
  • Write 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/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies:
Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc.

stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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