NVIDIA is looking for Deep Learning Scientists, AI Researchers, and Machine Learning Engineers to enhance AI Safety and Responsibility efforts in Enterprise Risk Management. The role focuses on addressing innovative challenges in machine learning, particularly in scaling safety for multi-modal Large Language Models (LLMs). Candidates will work on improving the security, content safety, and inclusivity of frontier models while collaborating with leading AI companies. The position requires deep expertise in core safety areas such as LLM Security, Frontier Risks, and Agentic Safety.

• Master's or PhD in Computer Science, Electrical Engineering, or a related quantitative field.
• 8+ years of proven experience in systems software engineering or machine learning engineering.
• 4+ years of hands-on work experience in post-training of LLMs, including Supervised Fine-Tuning and Reinforcement Learning.
• 1+ years of dedicated experience or research in at least one core safety area.
• In-depth knowledge of machine learning principles and frameworks, preferably PyTorch, with strong Python programming skills.
• Experience working with large multimodal datasets and multi-modal foundational models.
• Outstanding analytical problem-solving abilities and excellent collaboration and communication skills.

• Develop datasets and specialized models to evaluate and benchmark models in core safety tracks.
• Create datasets and recipes for filtering training data and developing training datasets across core safety tracks.
• Research and deploy new approaches for model and system level techniques beyond post-training.
• Collaborate with engineers, data scientists, and research teams to scale solutions for safety in LLMs.

• 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.