Staff Software Engineer, Android Trust

Google Google · Big Tech · Singapore

Staff Software Engineer on the Android Trust team, focusing on protecting users from abusive apps using ML and AI. The role involves leading the design, development, and deployment of large-scale engineering systems, including ML and AI models (LLMs, GenAI) for security and abuse detection. Experience with speech/audio, reinforcement learning, ML infrastructure, and generative AI integration is required.

What you'd actually do

  1. Own critical areas of Android Ecosystem safety.
  2. Lead the design, develop, deploy and maintain large scale engineering systems in the area of counter abuse.
  3. Lead the design, development and deployment and scale ML and AI models, including Large Language Models (LLMs) and Generative AI (GenAI) aimed at protecting the users, developers and other stakeholders of the Android ecosystem.
  4. Provide technical leadership on high-impact projects.
  5. Manage project priorities, deadlines and deliverables.

Skills

Required

  • software development
  • software products
  • software design and architecture
  • Speech/audio
  • reinforcement learning
  • ML infrastructure
  • ML design
  • model deployment
  • model evaluation
  • data processing
  • debugging
  • fine tuning
  • generative AI tools
  • LLM interfaces

Nice to have

  • AI/ML modeling for classification
  • system automation
  • safety
  • security
  • privacy
  • counter-abuse
  • data structures
  • algorithms

What the JD emphasized

  • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Other signals

  • Develops and deploys ML and AI models, including LLMs and GenAI
  • Uses AI/ML for detecting content, privacy, and security violations
  • Agentic AI threat models and defense