(General Hire) Multi-modal Machine Learning Engineer - Trust and Safety
Core
Build and deploy machine learning models and systems to moderate content and protect users from negative content on TikTok's global platform.
Role type
Senior IC multi-modal machine learning engineer (trust and safety)
Builds
Content understanding models, classifiers, and serving pipelines for content moderation
Domain
Social media platform, content safety, multimodal AI
Deliverable
production ML models
Required skills
machine learning (CV/NLP/Multimodal/Graph/LLM), statistical models, applied mathematical methods, Python programming, system design for online ML workflows
Preferred skills
LLM development, multimodal modeling, representation learning, online ML systems (ranking/retrieval), publications in AI/ML conferences
Technologies
Python, LLMs, graph models, representation learning models
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 key challenges and propose data-driven strategies
Seniority
Senior, hands-on IC
