Sustainable Talent is partnering with Nvidia, a global leader in computer graphics and accelerated computing. They are seeking an AI Security Engineer to support the team in Santa Clara, CA, focusing on AI Safety for LLMs and collaborating with research and engineering teams to enhance the safety and inclusivity of LLM models.

Responsibilities:

Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt
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

Sr Cloud Security Engineer

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