Staff Research Scientist, App and Ecosystem Trust

Google Google · Big Tech · Singapore

Research Scientist focused on protecting Android users from abusive apps by developing and publishing novel research on Android security and AI agent safety. The role involves designing neuro-symbolic and agent-powered systems, analyzing codebases using machine learning, and collaborating with internal and external partners to improve defenses against evolving threats.

What you'd actually do

  1. Identify problems and threat trends and support the team to move fast and come up with new ideas to manage the adversarial nature of the space and the adaptation of abusers, who would constantly come up with new strategies to bypass our protections.
  2. Develop and publish novel research on Android security and AI agent safety, collaborating with global academic and technical partners to improve the defenses.
  3. Design neuro-symbolic and agent-powered systems to identify privacy threats, reverse-engineer apps, and ensure the safety of autonomous systems interacting with mobile web environments.
  4. Perform analysis on the codebases (e.g., Java, JavaScript, Native) using machine learning to detect malware, bypass obfuscation, and neutralize evasion techniques.
  5. Work with teams across Google such as AdSpam, Android Platform, Actor Trust, Google Research to address abuse problems together.

Skills

Required

  • PhD degree in Computer Science, a related field, or equivalent practical experience
  • 4 years of experience with research agendas across multiple teams or projects
  • One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.)

Nice to have

  • 2 years of experience in coding and leading multiple research efforts and influencing research direction in Machine Learning, Privacy, and Security

What the JD emphasized

  • publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.)

Other signals

  • novel research on Android security and AI agent safety
  • design neuro-symbolic and agent-powered systems
  • perform analysis on codebases using machine learning