Principal AI Safety & Security Research Scientist

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; Presencial; SGD 150.000 - 210.000; Tempo integral

Resumo da vaga

Google Asia Pacific Pte. Ltd. in Singapore seeks a senior ML researcher to join a specialized trustworthiness AI research initiative.

You will advance machine learning foundations for AI safety, including robustness, continual learning, and interpretability, collaborating across global engineering teams and with academic partners. You will publish influential work, design rigorous evaluation benchmarks, and help transition proofs-of-concept into robust production solutions, shaping

Qualificações

• PhD in Computer Science or a related field.
• At least 2 years leading a research program.
• Experience in ML, adversarial ML, and evaluating frontier AI systems.
• At least one publication submission to major venues.

Responsabilidades

• Drive foundational ML research in model robustness, continual learning, interpretability, and multiobjective optimization to advance trustworthy AI.
• Design evaluation protocols, scenario-based benchmarks, and stress-testing methodologies to assess frontier AI capabilities and multi-agent consensus.
• Curate advanced datasets and conduct fine-tuning or optimization experiments to enhance model resilience against emerging threats and ensure adherence to safety constraints.
• Collaborate extensively with regional engineering hubs, core product teams, and academic partners to transition theoretical proofs-of-concept into robust production solutions.
• Publish groundbreaking research in machine learning venues and actively participate in academic and industry research communities.

Formação

PhD in Computer Science or related field

Ferramentas

Python

Descrição da vaga

Google Asia Pacific Pte. Ltd. in Singapore seeks a senior ML researcher to join a specialized trustworthiness AI research initiative.

You will advance machine learning foundations for AI safety, including robustness, continual learning, and interpretability, collaborating across global engineering teams and with academic partners. You will publish influential work, design rigorous evaluation benchmarks, and help transition proofs-of-concept into robust production solutions, shaping