Machine Learning Engineer, AI Safety

About the role

NVIDIA is developing AI-based products across multiple domains and is looking for a talented Machine Learning Engineer to work on Product Security, Content Safety, ML Fairness and Robustness efforts for LLMs across all research and production engineering teams.

In this role, you'll have the opportunity to take on innovative problems in machine learning, particularly focused on safety for multi-modal LLMs. This role is directed at assessing, quantifying, and improving the safety and inclusivity of LLM models in a scalable fashion.

Responsibilities

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

Requirements

• Master's or PhD in Computer Science, Electrical Engineering or related field — or equivalent experience
• Minimum 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 one or more of the following broader areas for 1+ years: Content Safety, ML Fairness, Robustness, AI Model Security, or related areas
• Experience working in a range of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application
• Practice working with large multi-modal datasets and multi-modal models
• Good problem-solving and analytical ability
• Excellent collaboration and communication skills
• Demonstrates behaviors that build trust: humility, transparency, respect, and intellectual honesty

Ways to stand out from the crowd

• Skilled with alignment/fine-tuning of LLMs — including regular LLMs as well as VLMs (vision-language models) or any-to-text
• Proven experience with multimodal and/or multilingual content safety, legal, and regulatory compliance
• Knowledge of robustness, including hallucinations, digressions, and generative misinformation
• Experience with GenAI security, including prompt stability, model extraction, confidentiality/data extraction, integrity, availability, and adversarial robustness
• Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research, and publication experience

Compensation and benefits

• Base salary range: $124,000 – $195,500 USD for Level 2, and $152,000 – $241,500 USD for Level 3
• Base salary determined based on your location, experience, and the pay of employees in similar positions
• Eligible for equity and benefits
• Highly competitive salaries and comprehensive benefits package

Additional information

• Applications accepted at least until October 10, 2026
• This posting is for an existing vacancy
• NVIDIA uses AI tools in its recruiting processes
• NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law