Staff Backend Engineer — Safety & Moderation Automation

Discord Inc.

United States

Hybrid

USD 279,000 - 341,000

Full time

14 days+

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Job summary

Discord is seeking a Staff Software Engineer for the Safety Processing team. You will lead backend projects to process safety signals, primarily with Python, and provide architectural guidance to scale systems that protect users across the platform.

This role involves mentoring, cross-functional collaboration for content moderation tools, developing ML/AI enhancements, and addressing adversarial challenges.

Qualifications

  • Extensive experience developing and maintaining backend systems using Python
  • Strong system design and architecture skills for large-scale backend systems
  • Ability to define workstreams, lead projects, and guide other engineers
  • Experience in domains requiring trust, safety, security, or privacy
  • Experience participating in 24/7 on-call production rotations

Responsibilities

  • Lead, design, and build scalable backend systems for processing safety-related signals, primarily using Python
  • Guide and mentor the team through architectural and system design challenges to ensure long-term scalability
  • Collaborate with cross-functional teams to build tools for content moderation and compliance efforts
  • Implement and enhance ML/AI models and automation to improve content moderation decisions
  • Build solutions with an adversarial mindset to tackle safety challenges such as malicious content
  • Drive workstreams and provide leadership to mobilize others to achieve impactful outcomes

Skills

Python
Architectural Leadership
Leadership in Execution
Adversarial Mindset
On-Call Experience

Job description

Discord is seeking a Staff Software Engineer for the Safety Processing team. You will lead backend projects to process safety signals, primarily with Python, and provide architectural guidance to scale systems that protect users across the platform.

This role involves mentoring, cross-functional collaboration for content moderation tools, developing ML/AI enhancements, and addressing adversarial challenges.

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