Security Developer, Ads Safety

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Security Developer, Ads Safety

Google

150,000–154,000 / Year

Location

Waterloo, ON, Canada

Experience

Mid

Posted

Jul 18, 2026

Apply by

August 17, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Job Description

info_outline XThis posting is for a new vacancy. Google utilizes AI tools to assist in assessing candidates in our hiring processes. Minimum qualifications: Bachelor's degree in Computer Science, a similar technical field or equivalent practical experience. 2 years of experience in software development in one or more general purpose programming languages. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience of building scalable ML system. Experience in anti-abuse adversarial domain. Experience in data analysis. About the job 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Canada: $150000 - $154000 (CAD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Address complex problems in abuse fighting. Work with the team to develop solutions to classify and understand actors and their assets, including destinations in Google Ads, using machine learning techniques. Partner with teams to deliver solutions to detect and stop bad actors from re-entering Google Ads, and to reduce friction for good actors.

Key Responsibilities

  • Address complex problems in abuse fighting.
  • Develop solutions to classify and understand actors and their assets using machine learning techniques.
  • Partner with teams to deliver solutions to detect and stop bad actors from re-entering Google Ads.
  • Reduce friction for good actors.

Requirements

  • Bachelor's degree in Computer Science
  • Bachelor's degree in a similar technical field
  • Equivalent practical experience

Skills Required

Software developmentGeneral purpose programming languagesMachine learningScalable ML system buildingAnti-abuse adversarial domain experienceData analysis

Benefits

  • Bonus target
  • Equity
  • Benefits

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