Machine Learning Engineer, Integrity

OpenAI

San Francisco, United States
Design and deploy advanced machine learning models
Implement scalable data pipelines
Optimize models for performance and accuracy
The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability

Job Summary

  • The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability.
  • You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding.
  • Your work will directly influence how AI benefits individuals, businesses, and society at large.

Matching Summary

The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability.

Skills & Requirements

Must-have

  • design and deploy advanced machine learning models
  • implement scalable data pipelines
  • optimize models for performance and accuracy
  • training and fine-tuning large language models
  • deep learning and transformers models

Nice-to-have

  • proactive approach to challenges
  • move fast in loosely defined environments
  • own problems end-to-end
  • content understanding or abuse prevention with LLMs

Key Requirements

  • Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field
  • Proficiency in frameworks like PyTorch or Tensorflow
  • Strong foundation in data structures, algorithms, and software engineering principles
  • Excellent problem-solving and analytical skills
  • Ability to work collaboratively with cross-functional teams

Work Rights

Not specified

Tailored Resume

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