Machine Learning Engineer, AI Safety

Develop safety and fairness systems for large language models, focusing on content safety, bias detection, and robustness across production environments.
- Build datasets, models, and metrics for evaluating content safety, product security, and ML fairness in multi-modal LLMs at scale.
- Research and implement bias detection and mitigation techniques for language models and retrieval-augmented generation systems.
- Develop MLOps tools and platforms to help ML teams deploy safe, responsible models with automated monitoring and safety practices.
- Master's degree in Computer Science or related field plus 2+ years deploying production ML models.
- Hands-on Python and PyTorch experience; background in content safety, ML fairness, robustness, or AI security for 1+ years.

NVIDIA is a technology company that designs and manufactures GPUs and AI computing platforms used in data centers, gaming, and scientific research.