19 hours ago
Singapore, SingaporeMid Level
Responsibilities
- Design, build, and scale content safety systems including classifiers, vector databases, and multimodal models.
- Develop and maintain production-grade distributed systems and high-throughput content-processing pipelines across server-side and on-device environments.
- Build model training, evaluation, and productionization workflows with feedback loops and automation.
- Implement agentic workflows and advanced heuristics to detect complex abuse patterns.
- Identify and mitigate novel abuse patterns to keep Google products safe.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of software programming experience in Python, Java, or C++.
- At least 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.
- At least 1 year of experience with ML infrastructure, including model training, inference, deployment, evaluation, or optimization.
- Preferred experience in factuality, product policy, responsible AI, UGC or GenAI product safety, adversarial incentives, abuse vectors, and virality.
- Preferred experience designing and deploying global-scale defensive architectures and pipelines.
- Understanding of machine learning and LLM architecture, including transformers, activations, and large-scale training and deployment.
- Experience managing technical debt, reducing bugs, and mitigating SLO breaches.
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.