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Staff Research Scientist, AI Alignment

Google
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RemoteFull-timePosted 1w ago

About the role

Staff Research Scientist role focused on AI alignment and safety research in APAC, leading regional partnerships with academia and government, and bridging foundational research with engineering execution to ensure robust and trustworthy AI models.

Responsibilities

  • Serve as the lead researcher for regional AI safety research, defining and driving a foundational research agenda in AI alignment and developing advanced computational intelligence technology to adapt to new trends and threats and socio-technical systems.
  • Lead local interactions and liaise directly with APAC academic institutions, government bodies, and key external stakeholders to establish and coordinate joint research partnerships.
  • Oversee the strategic integration of localized safety breakthroughs, evaluation protocols, and alignment methodologies into core engineering frameworks and frontier AI models.
  • Collaborate closely with regional engineering teams, global research pillars, and cross-functional partners to navigate fast-moving technology policy and regulatory landscapes.
  • Participate in the regional research community, publish foundational research in scientific venues, represent Google in regional research forums, and mentor students or visiting researchers.

Qualifications

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • 4 years of experience with research agendas across multiple teams or projects.
  • Experience in machine learning, adversarial machine learning or evaluating frontier AI systems, including supervised learning, unsupervised learning and reinforcement learning, ML interpretability, adversarial robustness, ML safety, generative models, agentic AI, multi-objective optimization.
  • One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Skills

Required:PhD or equivalent practical experienceMachine Learning
Last updated Oct 23, 2026. Interested? Apply on the company site.

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