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X In most instances, this position requires in-person interviews as part of the hiring process.
This posting is for an existing vacancy.
Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience in Machine Learning or Statistical Analysis.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- Experience in reverse developing and security analysis.
- Experience with anti-abuse systems.
- Experience with web browsers or mobile app development.
About the jobWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
As a key member of the Botnets team, you will be instrumental in building resilient, industry-leading defenses against the scale and sophistication of automated and distributed spam attacks targeting Google's ads ecosystem.
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 .
Responsibilities - Stay up-to-date on industry trends and emerging threats and build new initiatives and roadmaps to defend Google's ads ecosystem.
- Work cross-functionally with Google research teams to influence and apply state-of-the-art machine learning technologies in fraud detection.
- Build statistical and machine learning models to automate spam detection and filtering.
- Instrument Google ads products to collect traffic signals for building robust and privacy-friendly anomaly detection.
- Establish ground-truth and dissect botnet workflows through traffic analysis and reverse developing.
