Multi-modal Machine Learning Engineer (all levels) - Trust and Safety
Core
Build and deploy machine learning models and systems to moderate negative content and protect users on TikTok's global platform.
Role type
Multi-modal machine learning engineer (Trust and Safety)
Builds
Content understanding models, classifiers, and serving pipelines for content moderation
Domain
Social media platform safety, multimodal AI, content moderation
Deliverable
production ML models
Required skills
machine learning (CV/NLP/Multimodal/Graph/LLM), statistical modeling, applied mathematics, Python programming, software engineering
Preferred skills
LLM/VLM expertise, representation learning, online ML systems (ranking/retrieval), publications in AI/ML conferences
Technologies
LLM, VLM, graph models, multimodal classifiers
Responsibilities
Lead and build content understanding models for content moderation; Work on state-of-the-art content understanding techniques including unimodal/multimodal classifiers, graph models, and LLMs; 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; Collaborate with data scientist teams to understand challenges and propose data-driven strategies.
Seniority
All levels (entry to senior)
