Senior Software Engineer, Workspace Abuse and Safety Protections
Sunnyvale, CA, USA$174k - $252kPosted 4d ago
About the role
Mid-level Software Engineer role focused on building and scaling ML-driven protections to keep Google Workspace products private, secure, and safe from abuse across Gmail, Docs, Drive, Meet and other Workspace apps.
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.
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.
Skills
Required:Applied machine learningGenerative AI (GenAI), large language models (LLM)Building generative AI or agentic applications
Last updated Oct 23, 2026. Interested? Apply on the company site.
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