Machine Learning Engineer, AI Safety

🕒 July 25

🏄 California – Remote

🏄 California – Remote

💵 $124k - $195.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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 techniques for bias detection and mitigation in LLMs and systems using LLMs such as RAGs • Define and track key metrics for responsible LLM behavior and usage • Follow MLOps practices for automation, monitoring, scale, and safety • Contribute to the MLOps platform and develop safety tools for ML teams • Collaborate with engineers, data scientists, and researchers to solve 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 experience developing and deploying machine learning models in production • Strong understanding of machine learning principles and algorithms • Hands-on Python programming experience • In-depth knowledge of machine learning frameworks such as Keras or PyTorch • 1+ year in Content Safety, ML Fairness, Robustness, AI Model Security, or related areas • Experience in Content Safety areas such as Hate/Harassment, Sexualized, or Harmful/Violent content • Experience with large multimodal datasets and multimodal models • Skilled with LLM alignment/fine-tuning, including LLMs, VLMs, or any-to-text models • 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 • Required problem-solving and analytical ability • Excellent collaboration and communication skills

🏖️ Benefits

• Competitive salaries • Comprehensive benefits package • Equity