Staff Research Scientist, AI Alignment - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; In loco; SGD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Google Asia Pacific is seeking a Research Scientist to set up large-scale tests, deploy ideas, and manage deadlines while applying latest theories to develop new AI products, processes, or technologies.

The role involves bridging foundational academic breakthroughs with engineering execution to ensure robust and safe AI models, and partnering with universities, governments, and regional teams across APAC.

Competenze

• PhD or equivalent practical experience required.
• 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, unsupervised, reinforcement learning, ML interpretability, adversarial robustness, ML safety, generative models, agentic AI, and multi-object optimization.
• One or more scientific publication submissions to conferences, journals, or public repositories (CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Mansioni

• Lead researcher for regional AI safety research, defining and driving a foundational research agenda in AI alignment.
• Lead local interactions and liaise with APAC academic institutions, government bodies, and external stakeholders to establish and coordinate joint research partnerships.
• Oversee integration of localized safety breakthroughs and alignment methodologies into core engineering frameworks and frontier AI models.
• Collaborate with regional engineering teams, global research pillars, and cross-functional partners to navigate technology policy and regulatory landscapes.
• Participate in the regional research community, publish foundational research in scientific venues, represent Google in regional forums, and mentor students or visiting researchers.

Conoscenze

Machine learning

ML safety

Adversarial ML

Publications

Cross-team collaboration

Formazione

PhD in Computer Science or related field

Descrizione del lavoro

Job description

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.

Additional job description

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.

Qualifications

Job 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.

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.