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Minimum qualifications:
Our team is tasked with optimizing value for the advertiser, users and Google through mechanism innovations. We collaborate closely with auction research, ads prediction stack modeling, bidding, ads UI and targeting to optimize long-term business for Google.
Our mode of operation is a mix between research scientist, data scientist and software engineer. We are constantly making hypotheses about the way the world works, testing them experimentally, working out what auction changes are appropriate, testing those changes and iterating to get to a more ideal state.
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 $141,000-$202,000 + 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 .
Responsibilities
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in C++.
- 1 year of experience in experiment design.
- Master's degree or PhD in Computer Science, Mathematics or a related technical field.
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience in code and system health, diagnosis and resolution, and software test engineering.
- Experience with auction theory.
- Experience developing accessible technologies.
Our team is tasked with optimizing value for the advertiser, users and Google through mechanism innovations. We collaborate closely with auction research, ads prediction stack modeling, bidding, ads UI and targeting to optimize long-term business for Google.
Our mode of operation is a mix between research scientist, data scientist and software engineer. We are constantly making hypotheses about the way the world works, testing them experimentally, working out what auction changes are appropriate, testing those changes and iterating to get to a more ideal state.
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 $141,000-$202,000 + 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 .
Responsibilities
- Write analyses to test hypotheses about the user-value landscape and what improvements (e.g., new mechanisms or improvements to existing ones) might be appropriate.
- Implement and test mechanisms in the auction.
- Contribute in designing experiments to evaluate hypotheses, tease out and analyze effects on improving user and advertiser value, and document findings.
- Manage individual project priorities, deadlines and deliverables.
Key Skills
Ranked by relevance
ui
natural language processing
artificial intelligence
distributed computing
data structures
storage
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- Posted
- Dec 17, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Mountain View
- Company
Industries
Information Services
Technology
Information
Internet
Categories
Information Technology
Engineering
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