Machine Learning Engineer, AI Safety

Sourced from yabot.jobs

NVIDIA is seeking a Machine Learning Engineer to work on AI Safety, focusing on content safety, ML fairness, and robustness for large language models. The role involves developing datasets and models, implementing bias detection techniques, and collaborating with cross-functional teams to ensure safe and responsible AI. This position offers the opportunity to work on cutting-edge problems in multi-modal LLMs and contribute to NVIDIA's AI safety initiatives.

• Develop datasets and models for training and evaluating content safety, product security, robustness, and ML fairness systems.
• Research and implement techniques for bias detection and mitigation in LLMs and RAG systems.
• Define and track key metrics for responsible LLM behavior and usage.
• Follow MLOps best practices for automation, monitoring, scale, and safety.
• Contribute to the MLOps platform and develop safety tools for ML teams.
• Collaborate with engineers, data scientists, and researchers on content safety and ML fairness challenges.

• Master's or PhD in Computer Science, Electrical Engineering, or related field, or equivalent experience.
• Minimum of 2+ years of experience developing and deploying machine learning models in production.