Principal Engineer, Ads Safety Machine Learning

Google Ads powers the open internet with technology connecting people, publishers, and advertisers through trusted advertising experiences.
$278,000 - $399,000
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
15+ years of experience
AI · Enterprise SaaS · Cybersecurity

Description For Principal Engineer, Ads Safety Machine Learning

Google's Ads Safety team is seeking a Principal Engineer to lead the technical vision for their machine learning and AI initiatives in advertising safety and trust. This role combines advanced ML expertise with strategic leadership to protect one of the world's largest advertising ecosystems.

The position involves architecting sophisticated machine learning solutions that operate at massive scale, focusing on two critical dimensions: Actor Safety and Content Safety. The Actor Safety aspect involves building systems to identify and prevent malicious activities, fraud, and scams, while Content Safety ensures all advertising content meets policy standards and protects user trust.

As a Principal Engineer, you'll be responsible for designing and implementing cutting-edge ML/AI models that can effectively detect threats and evaluate content across Google's vast advertising network. This includes creating robust verification frameworks and ensuring alignment with regulatory requirements. The role requires deep technical expertise in machine learning and AI, combined with strong leadership skills to guide teams and influence strategic decisions across the organization.

The ideal candidate brings 15 years of software engineering experience, with particular expertise in machine learning, AI, and their applications in threat detection and fraud prevention. They should have a proven track record of technical innovation and leading cross-functional teams, along with exceptional communication skills to influence both technical and non-technical stakeholders.

This is an opportunity to shape the future of digital advertising safety at Google, working with high-performing teams dedicated to creating a secure and trustworthy advertising environment. The role offers competitive compensation ($278,000-$399,000 + bonus + equity + benefits) and the chance to work on problems that impact billions of users, advertisers, and publishers worldwide.

Success in this role means delivering technical solutions that maintain the highest standards of security and trust in digital advertising, while continuously innovating to stay ahead of emerging threats and challenges. The position requires balancing detailed technical work with strategic thinking, all while upholding Google's commitment to user privacy, security, and ethics.

Last updated 21 hours ago

Responsibilities For Principal Engineer, Ads Safety Machine Learning

  • Architect and implement ML/AI models to detect malicious behavior and non-compliant or harmful ad content at scale
  • Work across a large and diverse organization to build and drive technical and product consensus
  • Guide and inspire engineers to take in complex challenges in both actor and content safety
  • Define key performance indicators to track the effectiveness of our machine learning/AI platforms
  • Define and evolve the technical machine learning/AI road map for Ads Safety

Requirements For Principal Engineer, Ads Safety Machine Learning

  • Bachelor's degree in Computer Science or equivalent practical experience
  • 15 years of experience in software engineering
  • Experience with technical innovation and leadership in cross-functional engineering environments
  • Experience in machine learning, AI, and their applications in threat detection, fraud prevention, or content compliance
  • Experience in managing multiple initiatives, including coordination across geographically dispersed, cross-functional teams
  • Master's degree or PhD in Computer Science or related technical fields (preferred)
  • Experience in Cybersecurity or Ads Safety Domain (preferred)
  • Exceptional communication and collaboration skills
  • Demonstrated proficiency in adversarial thinking, threat analysis, and policy enforcement

Benefits For Principal Engineer, Ads Safety Machine Learning

Medical Insurance
Dental Insurance
Vision Insurance
  • bonus
  • equity
  • benefits

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