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Position: Principal Machine Learning Engineer, Content Safety and ML Fairness
Institution: Nvidia Corporation
Location: Santa Clara, California, United States
Duties: In this role, you’ll work with the teams who are developing Large Language Models (LLMs) aka Generative AI for text. Our LLMs are a growing area of AI products including models and services, and we are committed to ensuring that they are used safely and responsibly. This key position will ensure the highest content safety possible by reducing exposure to inappropriate material, preventing bias and discrimination which is essential to protect both individual rights and to achieve the best quality of results including accuracy and completeness of information. By prioritizing safety and fairness, we can ensure that LLMs benefit everyone and contribute to a better future for all
Requirements: You have a Master’s or PhD in Computer Architecture, Computer Science, Electrical Engineering or related field or equivalent experience; Strong understanding of machine learning principles and algorithms; 8+ years of Work Experience in developing and deploying machine learning models in production
   
Text: Principal Machine Learning Engineer, Content Safety and ML Fairness In this role, you’ll work with the teams who are developing Large Language Models (LLMs) aka Generative AI for text. Our LLMs are a growing area of AI products including models and services, and we are committed to ensuring that they are used safely and responsibly. This key position will ensure the highest content safety possible by reducing exposure to inappropriate material, preventing bias and discrimination which is essential to protect both individual rights and to achieve the best quality of results including accuracy and completeness of information. By prioritizing safety and fairness, we can ensure that LLMs benefit everyone and contribute to a better future for all You have a Master’s or PhD in Computer Architecture, Computer Science, Electrical Engineering or related field or equivalent experience; Strong understanding of machine learning principles and algorithms; 8+ years of Work Experience in developing and deploying machine learning models in production
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