Staff Software Engineer, Safety Processing

Discord Discord · Consumer · San Francisco, CA · Core Tech Engineering

Staff Software Engineer for Discord's Safety Processing team, focusing on building and scaling backend systems for content moderation using ML/AI models and automation. The role involves architectural guidance, mentorship, and developing solutions with an adversarial mindset to protect users from harmful content.

What you'd actually do

  1. Lead, design, and build scalable backend systems for processing safety-related signals, primarily using Python
  2. Guide and mentor the team through architectural and system design challenges, ensuring long-term scalability as Discord continues to grow
  3. Collaborate with cross-functional teams to build tools for content moderation and related compliance efforts. This includes in house solutions and vendors
  4. Implement and enhance ML/AI models and automation to improve efficiency in content moderation and decision-making processes
  5. Build solutions with an adversarial mindset, anticipating and addressing safety challenges such as malicious behavior and illegal content on the platform

Skills

Required

  • Python Expertise
  • Extensive experience developing and maintaining backend systems using Python
  • Strong system design and architecture skills
  • Ability to build scalable, reliable systems for content moderation
  • Leadership in Execution
  • Ability to define workstreams, lead projects, and guide other engineers through implementation
  • Experience in a domain that required an adversarial mindset such as trust, safety, security, or privacy
  • Experience being in a 24/7 on-call rotation for production systems

Nice to have

  • Experience working with ML/AI models in content moderation
  • Familiarity with Typescript/Javascript/React and frontend technologies
  • Familiarity with Rust
  • Previous experience at companies with a strong focus on safety, security, or trust & safety

What the JD emphasized

  • scalable backend systems
  • architectural guidance
  • ML/AI models and automation
  • adversarial mindset
  • large scale projects, programs, or initiatives measured in quarters or years

Other signals

  • ML/AI models
  • content moderation
  • automation
  • scalability
  • backend systems