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Trust & Safety Machine Learning Engineer

Zoom|San Jose, United StatesHybrid

Job Description

ML engineer on Zoom’s Trust & Safety Engineering team, developing AI/ML algorithms to detect abuse, protect users, and ensure safe interactions on the platform. Role combines NLP and safety modeling with large-scale production systems.

Responsibilities

  • Design, implement, and optimize AI/ML algorithms for Trust & Safety use cases
  • Integrate ML models into scalable engineering solutions aligned with business objectives
  • Participate in code reviews, design discussions, and technical presentations
  • Improve performance, scalability, and reliability of existing safety systems
  • Stay up-to-date with AI/ML research relevant to online safety and moderation

Benefits

Competitive base salary plus bonus/equityHealth, wellness, and retirement benefitsHybrid work model within Zoom’s global officesMission-driven work protecting users from abuse

Category

Machine Learning Engineer

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