Staff Research Scientist, AI Alignment

Google LLC; Singapore; Presencial; SGD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Google LLC in Singapore is seeking a Research Scientist to lead regional AI safety research and align frontier AI with robust, safe deployment. You will set foundational research agendas, collaborate with APAC academic institutions and government bodies, and publish findings to influence both policy and engineering practice.

You will bridge academic breakthroughs with engineering execution, coordinating external partnerships and mentoring visiting researchers while advancing scalable safety

Formación

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

Responsabilidades

• Lead regional AI safety research, defining and driving a foundational AI alignment agenda.
• Liaise with APAC academic institutions, government bodies, and external stakeholders.
• Integrate safety breakthroughs into core engineering frameworks and frontier AI models.
• Collaborate with regional and global teams on policy, regulation, and delivery.
• Publish findings, mentor researchers, and represent Google in regional forums.

Conocimientos

Research across teams

ML/AI safety expertise

Publications in top venues

Educación

PhD in Computer Science or related field

Descripción del empleo

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• 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, which includes but not limited to supervised learning, unsupervised learning and reinforcement learning, ML interpretability, adversarial robustness, ML safety, generative models, agentic AI, multi-object optimization.
  
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum 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, which includes but not limited to supervised learning, unsupervised learning and reinforcement learning, ML interpretability, adversarial robustness, ML safety, generative models, agentic AI, multi-object optimization.
  
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• Experience establishing research partnerships or liaising with external stakeholders, academic institutions, or government bodies.
• Demonstrated experience understanding technology policy, regulatory compliance, and regional cultural nuances within the Asia-Pacific (APAC) landscape.
• Track record of successfully coordinating joint academic research initiatives and integrating advanced research breakthroughs into scalable engineering frameworks.
• First-authored publications in top machine learning, safety/security tracks in machine learning or AI conferences, or HCI conferences.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

In this role, you will serve as a key researcher for regional AI safety research, establishing a technical presence dedicated to AI alignment. You will bridge foundational academic breakthroughs with core engineering execution to ensure next-generation AI models are robust, trustworthy, and safe. You will act as a key liaison, building and coordinating highly impactful research partnerships with academic institutions, government stakeholders, and regional engineering hubs across the Asia-Pacific (APAC) region. You will also actively contribute to the wider research community by sharing and publishing findings.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.