Software Engineer, Content Safety, Infra

Google Google · Big Tech · Singapore

Software Engineer role focused on building and scaling content safety platforms using ML infrastructure and responsible AI techniques to protect users from harmful content. The role involves designing, building, and maintaining these platforms, ensuring quality implementations of company-wide standards for Responsible AI, and collaborating with stakeholders. It requires experience in software development, ML infrastructure, and potentially speech/audio or reinforcement learning.

What you'd actually do

  1. Design, build, maintain and scale content safety platforms to safeguard business-critical products for Google.
  2. Deliver quality and future-proof content safety self-service solutions that combine content safety protection with production-grade infrastructure.
  3. Enable safety teams to protect users from exposures to offensive, sensitive or harmful content, and unlock new opportunities for the business.
  4. Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  5. Identify opportunities to mitigate internal signal developer issues, working with the community to prioritize and launch improvements.

Skills

Required

  • software development
  • ML infrastructure
  • model deployment
  • model evaluation
  • data processing
  • debugging
  • Speech/audio
  • reinforcement learning
  • software design and architecture
  • testing
  • maintaining
  • launching software products

Nice to have

  • Responsible AI
  • safety-adjacent fields
  • factuality
  • product policy
  • content safety applied to software products
  • scaling pipelines
  • deploying systems
  • designing defensive architecture to meet Service Level Objectives (SLOs)

What the JD emphasized

  • Responsible AI
  • content safety
  • production-grade infrastructure
  • scale content safety platforms

Other signals

  • Responsible AI
  • content safety
  • ML infrastructure
  • production-grade experience
  • scale content safety platforms