Research Scientist, AI Safety & Security

GOOGLE ASIA PACIFIC PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

Google Asia Pacific PTE. LTD.

is seeking a Research Scientist to join a focused effort on proactive threat mitigation, adversarial ML, and agentic security, to strengthen next-generation trustworthy AI models and intelligent agents. You will work on ML foundations, continual learning, interpretability, and evaluation benchmarks, collaborating with international teams to translate research into robust production systems.

Qualifications

  • PhD or equivalent experience in CS or related field.
  • Experience in ML safety, adversarial ML, and frontier AI evaluation.
  • One or more peer-reviewed publications in conferences/journals (e.g., NeurIPS, ICML, CVPR).
  • Strong programming and experimental design skills.

Responsibilities

  • Advance foundational ML research in model robustness, continual learning, interpretability, and multiobjective optimization.
  • Design evaluation protocols, scenario-based benchmarks, and stress-testing methods for frontier AI capabilities.
  • curate advanced datasets and run fine-tuning/optimization experiments to enhance model resilience.
  • Collaborate with regional engineering hubs, core product teams, and academia to translate proofs-of-concept into robust production solutions.
  • Publish groundbreaking research and engage with academic and industry communities.

Skills

Adversarial ML
AI safety
Research
Multi-objective optimization
Publications

Education

PhD in Computer Science or related field

Tools

Python
Experimentation frameworks

Job description

Google Asia Pacific PTE. LTD.

is seeking a Research Scientist to join a focused effort on proactive threat mitigation, adversarial ML, and agentic security, to strengthen next-generation trustworthy AI models and intelligent agents. You will work on ML foundations, continual learning, interpretability, and evaluation benchmarks, collaborating with international teams to translate research into robust production systems.

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