Machine Learning Engineer Graduate - (TikTok Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Start(PHD)
Core
Developing state-of-the-art computer vision, NLP, and multimodal models to protect the platform from content and behaviors violating community guidelines.
Role type
PhD-level Machine Learning Engineer (Trust and Safety)
Builds
Distributed model training frameworks and content understanding models for TikTok
Domain
Social Media / Trust and Safety / Computer Vision / NLP / Multimodal LLMs
Deliverable
production ML models
Required skills
Machine learning, Large Language Models, Computer Vision, NLP, Distributed systems, Reinforcement learning, Active learning
Preferred skills
Recommendation Systems, Entrepreneurship mindset
Technologies
Large Language Models, Active learning models, Reinforcement learning models
Responsibilities
Collaborate with product teams to define business objectives and improve trust and safety strategy; Collaborate with engineering teams to deploy machine learning models and implement serving pipelines at scale; Work on state-of-the-art content understanding techniques including unimodal/multimodal classifiers and LLMs
Seniority
PhD, Research & Development
