Research Engineer Graduate (Monetization Technology - Business Integrity) - 2027 Start (PhD)
Core
Building a next-generation content understanding system for TikTok monetization, focusing on intelligent moderation to reward high-quality user experience and advertiser value.
Role type
Research Engineer (Graduate, PhD)
Builds
End-to-end automated moderation system with interpretable reasoning and intelligent remediation
Domain
Internet platforms, Monetization, Content Moderation
Deliverable
production ML models
Required skills
PhD in CS/SE/Electronic Eng/Automation/Math/Stats, Hands-on ML model implementation/training/deployment, Large language model fundamentals, Python, Deep learning frameworks (PyTorch/TensorFlow)
Preferred skills
Large-scale distributed training, Production model deployment optimization, Data pipelines for large-scale training, Agentic systems/RAG/multimodal applications, Ads/search/recommendation industry stack
Technologies
PyTorch, TensorFlow, DeepSpeed, Megatron, FSDP, vLLM, SGLang, TensorRT-LLM
Responsibilities
Build leading moderation system enabling accurate rejection decisions, interpretable reasoning, and intelligent remediation
Seniority
Graduate (PhD)