Senior Software Engineer, Workspace Abuse and Safety Protections
Sunnyvale, CA, USA · Senior · Full-time · Posted Oct 21, 2026
- Experience
- 5 years in applied machine learning; 3 years with GenAI, LLMs, machine learning, and related frameworks; 1 year building generative AI or agentic applications.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Builds and scales machine-learning protections that detect, prevent, and enforce against spam, phishing, and other abuse across Google Workspace products.
What you'll do
- Develop and deploy ML systems to protect Workspace users and products from abuse.
- Lead end-to-end ML strategy, modeling architectures, and enforcement pipelines.
- Use LLMs and real-time classification to build abuse-prevention and enforcement solutions.
What they ask for
- 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 building generative AI or agentic applications; experience leading technical architecture, cross-functional projects, or mentoring engineers.
Nice to have
- 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.
Pay
$174000 - $252000 (USD) base salary
Tools
machine learning, generative AI (GenAI), large language models (LLM), real-time classification
AI focus
Develop and scale ML and LLM-powered systems to detect and prevent abuse and enforce safety across Workspace.
Model-written summary · the original posting is authoritative