NVIDIA is seeking a talented Machine Learning Engineer to focus on Product Security, Content Safety, ML Fairness, and Robustness for large language models (LLMs). The role involves assessing and improving the safety and inclusivity of LLMs while collaborating with various research and engineering teams. The engineer will work on innovative machine learning problems, particularly in the area of safety for multi-modal LLMs. This position offers the opportunity to contribute to cutting-edge AI products and ensure responsible usage of LLMs.

• Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• Minimum of 2+ years of work experience in developing and deploying machine learning models in production.
• Strong understanding of machine learning principles and algorithms.
• Hands-on programming experience in Python and in-depth knowledge of machine learning frameworks like Keras or PyTorch.
• Background in Content Safety, ML Fairness, Robustness, AI Model Security, or related areas for at least 1 year.
• Experience working with large multi-modal datasets and multi-modal models.
• Excellent collaboration and communication skills.

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

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.