Machine Learning Engineer, AI Safety

🕒 July 25

🏄 California – Remote

🏄 California – Remote

💵 $124k - $241.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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, Product Security, 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 best practices for automation, monitoring, scale, and safety • Contribute to the MLOps platform and develop safety tools to help ML teams be more effective • Collaborate with engineers, data scientists, and researchers to develop solutions to content safety and ML fairness challenges • Assess, quantify, and improve the safety and inclusivity of multi-modal LLM models at scale

🎯 Requirements

• 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 • In-depth knowledge of machine learning frameworks, such as Keras or PyTorch • Background in Content Safety, ML Fairness, Robustness, AI Model Security, or related areas for 1+ years • Experience in Content Safety areas including Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas • Experience working with large multi-modal datasets and multi-modal models • Skilled with alignment/fine-tuning of LLMs, including LLMs, VLMs, or any-to-text (standout) • Proven experience with multimodal and/or multilingual content safety, legal, and regulatory compliance (standout) • Knowledge of robustness, including hallucinations, digressions, and generative misinformation (standout) • Experience with GenAI security, including prompt stability, model extraction, confidentiality/data extraction, integrity, availability, and adversarial robustness (standout) • Passion for AI and demonstrated commitment to advancing the field through innovative research, prior scientific research, and publication experience (standout)

🏖️ Benefits

• Equity • Comprehensive benefits package