Staff Android Safety ML Engineer - Counter-Abuse & Security

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Google Asia Pacific PTE. LTD. is seeking software engineers to strengthen Android ecosystem safety.

You will own critical safety areas, design and deploy ML/AI models, including LLMs, and lead cross-functional teams across complex, scalable systems. This role demands leadership, strong technical skills, and the ability to adapt to evolving regulatory requirements. Ideal candidates bring 8+ years in software development, substantial ML experience, and a track record of delivering secure,

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, launching software products, and 3 years of design/architecture.
• 5 years of experience with one or more ML areas (speech/audio, RL, ML infrastructure, or related).
• 5 years of experience with ML design/infrastructure (deployment, evaluation, data processing, debugging, fine tuning).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Own critical areas of Android Ecosystem safety.
• Lead design, develop, deploy and maintain large-scale systems in counter abuse.
• Lead design, development, deployment and scale ML/AI models including LLMs and GenAI for protecting users and developers.
• Provide technical leadership on high-impact projects; mentor distributed teams.
• Work in a fast-paced environment with multiple stakeholders and regulatory changes.

Skills

Software development

ML experience

Team leadership

Problem solving

Communication

Education

Bachelor's degree

PhD preferred

Tools

LLMs

ML frameworks

AI tooling

Job description

Google Asia Pacific PTE. LTD. is seeking software engineers to strengthen Android ecosystem safety.

You will own critical safety areas, design and deploy ML/AI models, including LLMs, and lead cross-functional teams across complex, scalable systems. This role demands leadership, strong technical skills, and the ability to adapt to evolving regulatory requirements. Ideal candidates bring 8+ years in software development, substantial ML experience, and a track record of delivering secure,