Machine Learning Engineer, AI Safety

🔥 0 minutes ago

🏄 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 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

• 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

• Equity • Comprehensive benefits package