NVIDIA

AI Safety Scientist, Deep Learning

NVIDIA

full-time

Posted on:

Location Type: Office

Location: Ho Chi Minh CityVietnam

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About the role

  • Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness
  • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems
  • Define and track key metrics for responsible LLM behavior and usage
  • 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
  • 5+ 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
  • 2+ years of work experience in Content Safety, ML Fairness, AI Model Security, or related areas
  • Experience with large multi-lingual datasets and multi-lingual models
Benefits
  • Highly competitive salaries
  • Comprehensive benefits package
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningbias detectionmodel evaluationPythonKerasPyTorchdata analysisalgorithm developmentdataset developmentkey metrics tracking
Soft Skills
collaborationproblem-solvingcommunicationresearchcritical thinkinginnovationadaptabilityteamworkleadershiporganizational skills