Machine Learning Engineer Intern (Trust & Safety) - 2026 Start (PhD)
Core
Building state-of-the-art machine learning models and algorithms to protect the platform and users from content and behaviors violating community guidelines and regulations.
Role type
PhD intern, machine learning engineer (trust & safety)
Builds
Highly-scalable classifiers, tools, models, and algorithms for content safety systems
Domain
Social media platform safety, machine learning, computer vision, NLP
Deliverable
production ML models
Required skills
machine learning, pattern recognition, NLP, data mining, computer vision
Preferred skills
recommendation systems, search, advertising, top-tier AI conference publications, ML/data mining/CV/NLP competition experience, data structures and algorithms
Technologies
machine learning frameworks, computer vision libraries, NLP tools
Responsibilities
Develop scalable classifiers and algorithms leveraging cutting-edge ML and data mining; Understand product objectives to improve trust and safety strategy and model performance; Work with cross-functional teams to protect the platform globally
Seniority
Intern, research-focused
