Software Engineer, Content Safety & ML Infrastructure

Google; Singapore; On-site; SGD 120,000 - 210,000; Full time

Job summary

Google Singapore seeks software engineers for the Core team focused on content safety and ML infrastructure. You will design, build, and scale systems, train and deploy models, and address abuse patterns at global scale.

We value hands-on experience with Python, Java, and C++, ML fundamentals, and safety-domain tooling. Emphasis on responsible AI, SLOs, and delivering high-quality, safe products.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software programming in Python, Java, or C++.
• 1 year of experience in a core ML domain, such as generative AI, NLP, computer vision, speech/audio, reinforcement learning, recommendation systems, or ML infrastructure.
• 1 year of experience with ML infrastructure (e.g., model training, model inference, model deployment, model evaluation, optimization, data processing, debugging).

Responsibilities

• Design, build, and scale content safety systems including classifiers, vector databases, and multimodal models to protect business-critical products and GenAI experiences.
• Develop and maintain production-grade distributed systems and content processing pipelines optimized for high throughput and reliability across server-side and on-device environments.
• Model training, evaluation, and productionization workflows, incorporating feedback loops and automation to continuously improve model quality and performance.
• Implement agentic workflows and advanced heuristics for deep threat understanding, enabling the proactive detection of complex abuse patterns.
• Drive agile engineering efforts to identify and mitigate novel abuse patterns, ensuring Google’s products remain engaged and safe in a shifting threat landscape.

Education

Bachelor’s degree or equivalent practical experience

Tools

Python

Java

C++

Job description

Google Singapore seeks software engineers for the Core team focused on content safety and ML infrastructure. You will design, build, and scale systems, train and deploy models, and address abuse patterns at global scale.

We value hands-on experience with Python, Java, and C++, ML fundamentals, and safety-domain tooling. Emphasis on responsible AI, SLOs, and delivering high-quality, safe products.