Software Engineering Manager, Content Safety, Productionization

Google Google · Big Tech · Singapore

This role manages a team of software engineers focused on building and scaling content safety solutions using machine learning and AI techniques. The team's work involves protecting users from harmful content and ensuring the safety of business-critical products. The role requires technical leadership, people management, and experience in ML infrastructure, model deployment, and evaluation.

What you'd actually do

  1. Set and communicate team priorities that support the organization's goals. Align strategy, processes, and decision-making across teams.
  2. Set expectations with people based on their level and role and align to the organization's goals. Meet regularly with people to discuss performance and development and provide feedback and coaching.
  3. Develop the technical goals and roadmap within the scope of the teams. Evolve the roadmap to meet future requirements and infrastructure needs.
  4. Design, build, maintain and scale content safety solutions to safeguard business-critical products for Google.
  5. Protect users from exposures to offensive, sensitive or harmful content, and unlock new opportunities for the business.

Skills

Required

  • software development
  • Machine Learning (ML) infrastructure
  • ML field specialization
  • ML design
  • ML infrastructure optimization
  • technical leadership
  • people management
  • team leadership

Nice to have

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

What the JD emphasized

  • Machine Learning (ML) infrastructure
  • model deployment
  • model evaluation
  • data processing
  • debugging
  • fine tuning
  • scaling pipelines
  • deploying systems
  • defensive architecture

Other signals

  • production-grade experience in serving infrastructure
  • machine learning and AI-based techniques
  • scale content safety solutions