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Machine Learning Engineer, Integrity

San Francisco💼 Full-time🗓 2026-03-17 → 2026-07-31

Core

Design and deploy advanced machine learning models and classifiers to defend against adversarial threats, content abuse, and misuse in OpenAI's platforms.

Role type

Machine Learning Engineer (Integrity/Safety)

Builds

AI-driven applications for content and user understanding, scalable data pipelines, and production-ready models.

Domain

AI Safety, Trust & Safety, Large Language Models (LLMs)

Deliverable

production ML models

Required skills

deep learning, transformers models, training and fine-tuning LLMs (distillation, supervised fine-tuning, policy optimization), software engineering principles, data structures and algorithms

Preferred skills

content understanding or abuse prevention with LLMs

Technologies

PyTorch, Tensorflow

Responsibilities

Design and deploy advanced machine learning models, optimize models for performance and accuracy, implement scalable data pipelines, conduct code reviews and share knowledge, monitor and maintain deployed models

Seniority

Mid-to-Senior, hands-on IC

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