- Experience
- 4+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- In office
- Education
- PhD in Computer Science or related field
- Eligibility
- Applicants must have current authorization to work in Singapore and not require visa sponsorship from Google.
- Resume
- Required to apply
Where you'll work
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Job description
About the Role
Google is seeking a Staff Research Scientist specializing in AI alignment to lead cutting-edge safety research within the Asia-Pacific region, based in Singapore. The position involves driving foundational research agendas focused on AI robustness and trustworthiness while bridging academic innovations with engineering implementations. As a key figure, you'll coordinate partnerships with academic institutions, government organizations, and engineering teams to ensure AI systems meet rigorous safety and alignment standards.
Key Responsibilities
- Lead regional AI safety research efforts by establishing and advancing research frameworks centered on AI alignment and the development of sophisticated computational intelligence capabilities.
- Establish and maintain collaborative research partnerships with universities, government agencies, and important external stakeholders in the APAC region.
- Integrate safety research outcomes and evaluation protocols into core engineering systems and next-generation AI models, ensuring practical application of breakthroughs.
- Work collaboratively with regional engineering groups, global research divisions, and cross-functional teams to navigate and influence technology policy and regulatory environments effectively.
- Contribute to the broader research community by publishing in reputable scientific forums, representing Google at regional events, and mentoring emerging researchers and visitors.
Qualifications
- PhD in Computer Science or a related discipline, or equivalent practical experience.
- At least four years of research experience spanning multiple teams or projects.
- Proficiency in machine learning domains such as supervised, unsupervised, and reinforcement learning, adversarial machine learning, ML interpretability, robustness, safety, generative models, agentic AI, and multi-objective optimization.
- Prior submissions of scientific publications in premier conferences or journals (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR).
- Preferred: Experience fostering research collaborations with academic institutions and government, understanding APAC technology policy and regulatory compliance nuances, and publishing first-author papers in leading ML or AI safety and security conferences.
Additional Information
Applicants must currently possess the legal right to work in Singapore and should not require visa sponsorship through Google. Google values diversity and inclusive hiring, offering opportunities regardless of background. Accommodations are available for candidates with disabilities upon request.
Minimum education
Doctorate