Machine Learning Engineer, AI Safety

NVIDIA

Machine Learning Engineer at NVIDIA developing AI-based products focusing on safety and fairness in LLMs. Responsible for addressing challenges in Content Safety, ProdSec, Robustness and ML Fairness across teams.

Posted 7/25/2026full-timeRemote • California • 🇺🇸 United StatesJuniorMid-Level💰 $124,000 - $195,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing and deploying machine learning models with a focus on Content Safety, ML Fairness, and Robustness. Proficient in Python programming and familiar with frameworks like Keras and PyTorch, while adhering to MLOps best practices.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingKeras FrameworkPyTorch FrameworkContent Safety Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning PrinciplesBias Detection TechniquesMLOps PracticesMulti-Modal DatasetsModel Evaluation Metrics

Soft Skills

Problem-SolvingAnalytical AbilityCollaborationCommunicationTrust-Building Behaviors

Certifications & Qualifications

Master’s DegreePhD

Industry Keywords

Content SafetyML FairnessRobustnessAI Model SecurityHate/Harassment

Tech Stack

Tools & technologies

KerasPythonPyTorch

About the role

Key responsibilities & impact

Develop the 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 the best MLOps 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

What you’ll need

Master’s or PhD in Computer Science, Electrical Engineering or related field - or equivalent experience
Minimum of 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 at problem-solving and analytical ability
Excellent collaboration and communication skills
Demonstrates behaviors that build trust: humility, transparency, respect, and intellectual honesty.

Benefits

Comp & perks

Equity
Comprehensive benefits package