Software Engineer, Content Safety, Productionization

Google Google · Big Tech · Singapore

Software Engineer role focused on designing, building, and maintaining content safety solutions for Google's business-critical products. This involves implementing Responsible AI standards, protecting users from harmful content using ML/AI techniques, and ensuring quality through classifiers and classifiers. The role requires production-grade experience in serving infrastructure and product integrations, with a focus on delivering scalable and future-proof solutions.

What you'd actually do

  1. Design, build, maintain content safety solutions to safeguard business-critical products for Google.
  2. Deliver quality and future-proof content safety solutions that combine content safety protection.
  3. Protect users from exposures to offensive, sensitive or harmful content, and unlock new opportunities for the business by building and maintaining classifiers.
  4. Write and test product or system development code.
  5. 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).

Skills

Required

  • software development
  • Speech/audio
  • reinforcement learning
  • Machine Learning (ML) infrastructure
  • model deployment
  • model evaluation
  • data processing
  • debugging
  • software design
  • software architecture

Nice to have

  • Responsible AI
  • safety-adjacent fields
  • factuality
  • product policy
  • content safety applied to software products
  • scaling pipelines
  • deploying systems
  • defensive architecture
  • Service Level Objectives (SLOs)
  • machine learning
  • Large Language Model (LLMs)
  • transformers
  • activations
  • train and deploy them

What the JD emphasized

  • Responsible AI
  • content safety
  • machine learning
  • production-grade experience
  • serving infrastructure
  • product integrations
  • classifiers

Other signals

  • Responsible AI
  • content safety
  • machine learning
  • production-grade experience
  • serving infrastructure
  • product integrations