3 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Develop datasets, specialized models, algorithms, and automated evaluation methods for LLM security, agentic safety, content safety, hallucinations, and ML fairness.
- Develop filtering methods, training datasets, recipes, RL environments, and teacher models for model pre-training, mid-training, and post-training.
- Research and deploy model- and system-level safety techniques such as Instruction Hierarchy and Risk Detection.
- Collaborate with engineers, data scientists, and research teams across NVIDIA to scale AI safety solutions.
Requirements
- Master’s or PhD in Computer Science, Electrical Engineering, or a related quantitative field, or equivalent experience.
- 8+ years of systems software engineering or machine learning engineering experience.
- 4+ years of hands-on LLM post-training experience including SFT, RLHF/RLAIF, safety data generation, ablation studies, and production deployment.
- At least 1 year of dedicated experience or research in LLM security, frontier risks, agentic safety, or multi-turn safety evaluation.
- In-depth knowledge of machine learning principles and frameworks, preferably PyTorch, with strong Python programming skills.
- Experience with large multimodal datasets and multimodal foundational models.
- Preferred qualifications include primary-author publications at leading conferences such as NeurIPS, ICML, ICLR, or ACL; open-source AI safety contributions; and experience aligning or fine-tuning VLMs or any-to-text foundational models.
- Strong analytical problem-solving, collaboration, communication, humility, transparency, respect, and intellectual honesty.
Benefits
- Competitive base salary of $184,000–$287,500 for Level 4 or $224,000–$356,500 for Level 5, plus equity and comprehensive benefits.
- Applications will be accepted at least until September 4, 2026.
- The position is an existing vacancy at NVIDIA.
Categories
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.