Software Engineering Manager, Content Safety, Infra - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.

Singapore
Not specified; not specified; not specified
**
8 years software development experience
5 years ml infrastructure experience
5 years leading ml design and optimization
** Google Asia Pacific is seeking a Software Engineering Manager for its Content Safety team in Singapore. This leadership role involves managing engineers, optimizing software development processes, and ensuring user safety through effective content moderation solutions. **

Job Summary

  • The team builds the technical foundation behind Google's flagship products to ensure safe and coherent user experiences.
  • Managers are responsible for setting team priorities, aligning strategy across teams, and providing technical leadership to major projects.
  • The role involves protecting users from harmful content while leveraging machine learning and AI-based techniques to maintain online safety.

Matching Summary

Match Score: 75

** Google Asia Pacific is seeking a Software Engineering Manager for its Content Safety team in Singapore. This leadership role involves managing engineers, optimizing software development processes, and ensuring user safety through effective content moderation solutions. **

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 8 years software development experience
  • 5 years ML infrastructure experience
  • 5 years leading ML design and optimization
  • 3 years technical leadership role
  • 2 years people management experience

Nice-to-have

  • Experience in content safety for software products
  • Knowledge of Responsible AI and product policy
  • Experience scaling pipelines and defensive architecture
  • Knowledge of LLMs, transformers, and model training
  • Experience deploying systems meeting SLOs

Key Requirements

  • Bachelor's degree or equivalent practical experience
  • 8 years of software development experience
  • 5 years in ML infrastructure or related specialization
  • 5 years in leading ML design and optimizing infrastructure
  • 3 years in a technical leadership role
  • 2 years in a people management or team leadership role

Work Rights

Not specified

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