Machine Learning Engineer, AI Safety

Develop and evaluate training datasets and end-to-end systems for content safety, product security, robustness, and ML fairness for LLMs. Research and implement bias detection and mitigation, define metrics for responsible model behavior, and apply MLOps practices for automation, monitoring, scale, and safety. Contribute safety tools and collaborate with engineers and researchers across multimodal, generative model teams to improve safety and inclusivity at scale.