Machine Learning Engineer, AI Safety & Security – Supporting NVIDIA – Santa Clara (Hybrid)

Sustainable Talent is partnering with Nvidia, a global leader in computer graphics and accelerated computing. They are seeking a Machine Learning Engineer to support AI Safety for LLMs, focusing on developing datasets, researching bias detection techniques, and collaborating with multidisciplinary teams.

Responsibilities:

• Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness
• Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more
• Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems
• Define and track key metrics for responsible LLM behavior and usage
• Follow the best practices of automation, monitoring, scale, safety
• Contribute to our repositories and develop safety tools to help ML teams be more effective
• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets
• Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance
• Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions

Requirements:

• Bachelor's or Master's Degree in Computer Science or related field or equivalent experience
• 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions
• Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas
• Deep understanding of machine learning algorithms, statistical models, and data structures
• Familiarity with software development practices and version control systems (e.g., Git)
• Good at problem solving and analytical ability
• Excellent collaboration and communication skills
• Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness
• Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application
• Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (Vision Language Model) or any-to-text
• Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance
• Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience