Content Safety ML Engineer – Scale & Protect GenAI

Google Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Google is seeking a software engineer to join the Content Safety team in Singapore, focusing on building and scaling content safety systems for GenAI experiences. You will work on classifiers, vector databases, and multimodal models, ensuring high throughput for production environments and on-device execution.

The role emphasizes safety, ML infrastructure, and responsible AI practices within a dynamic, global team.

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 (e.g., generative AI, NLP, computer vision, speech/audio, RL, recommendation systems, or ML infrastructure).
• 1 year of experience with ML infrastructure (model training, inference, deployment, 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 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.

Skills

Python

Java

C++

ML domain

ML infrastructure

Education

Bachelor’s degree or equivalent practical experience

Job description

Google is seeking a software engineer to join the Content Safety team in Singapore, focusing on building and scaling content safety systems for GenAI experiences. You will work on classifiers, vector databases, and multimodal models, ensuring high throughput for production environments and on-device execution.

The role emphasizes safety, ML infrastructure, and responsible AI practices within a dynamic, global team.