Security Developer, Ads Safety
The role involves addressing complex abuse-fighting challenges and developing machine learning solutions to classify actors and assets within Google Ads. You will collaborate with teams to detect and prevent bad actors from accessing the platform while improving the experience for legitimate users.
- On-site
- Waterloo, ON
- Posted Aug 26, 2026
- 1 position
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Job summary
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 - $153000 (CAD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/]. 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.
What you’ll do
The role involves addressing complex abuse-fighting challenges and developing machine learning solutions to classify actors and assets within Google Ads. You will collaborate with teams to detect and prevent bad actors from accessing the platform while improving the experience for legitimate users.
Requirements
Candidates must have a bachelor's degree in Computer Science or a related field and at least 2 years of software development experience. Preferred qualifications include a postgraduate degree and experience in building scalable machine learning systems or anti-abuse domains.
Benefits
• Bonus • Equity • Health Insurance
Listed skills
- Data analysisPreferred
- Machine learningPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Software Development
- Machine Learning
- Data Analysis
- Anti-abuse
- Adversarial Domain
- Scalable Systems
- Computer Science
- Programming Languages
- Analytics
- Scalability
- Video Advertising
- Advertisement
Job areas
- Technology
- Software
- Data & Analytics
- Security & Safety
- Engineering
- Security Developer
- Machine Learning Engineer
- Software Developers
- Computer and Information Research Scientists
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 2+ years
- Posting language
- English
- Working hours
- 40 hours per week