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Senior Software Engineer, Workspace Abuse and Safety Protections

Google
Sunnyvale, USA
Senior · 5+ years experience
Onsite
USD 174000-252000 / year
Discovered 5 days ago

Full Job Posting

Responsibilities

  • Ensure the products remain trusted: private, secure, and safe.
  • Provide safe and trustworthy experiences for hundreds of millions of users across Google Workspace applications. Develop, deploy, and scale machine learning systems to detect, prevent, and enforce against spam, phishing, and sophisticated abuse vectors across all Workspace collaboration, productivity, and real-time communication products—including Drive, Docs, Sheets, Slides, Calendar, Chat, Meet, Voice, Keep, Forms, and Sites.
  • Grow critical ML-powered protections to make Workspace safe from various and constantly-evolving abuse vectors for our consumer and business users; drive the end-to-end ML strategy, modeling architectures, and enforcement pipelines that safeguard user content and interactions; leverage state-of-the-art techniques—including LLMs, and real-time classification to build enforcement and prevention solutions to stop harmful abuse.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience in applied machine learning.
  • 3 years of experience with generative AI (GenAI), large language models (LLM), machine learning, and related frameworks.
  • 1 year of experience in building generative AI or agentic applications.
  • Experience leading technical architecture, cross-functional projects, or mentoring junior-to-mid engineers.

Preferred qualifications:

  • Experience in a safety, abuse-fighting or integrity role at a top Internet company.
  • Experience partnering with Product Management, PR, UX and UI, Data Science, Analysts, Legal, and Operations.
  • Experience leading and motivating teams towards business goals, while balancing innovation with stability and scalability.
  • Ability to use a combined creative, data-driven and analytical approach to technical and business problems.

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