Machine Learning Engineer (Content Ecology & Creator) -E-commerce Governance

TikTok is a short-form mobile video platform seeking a Machine Learning Engineer for its Global E-Commerce Governance & Experience Algorithm Team. The role focuses on building AI systems for creator quality modeling, malicious actor detection, graph intelligence, ecosystem fairness, and multi-objective optimization using technologies such as LLMs, RAG, GNNs, and sequence modeling.

What you'll do:

• Signal-Driven Creator Profiling: aggregated underlying multi-modal signals (e.g., static frames, low-aesthetic detection, piracy fingerprints) to build comprehensive Creator Quality Scores
• Combat Low-Quality & Malicious Intent: Develop sequence-based models to detect and penalize creators engaging in "low-effort selling," "re-recording/piracy," and "matrix account spamming," effectively purging the ecosystem of noise
• LLM & RAG Intelligent Governance: Build LLM + RAG systems that dynamic interpret complex governance policies. Develop agents that not only flag risky creators but provide explainable reasoning to guide creator education and improvement
• Heterogeneous Graph Mining: Construct large-scale Heterogeneous Graphs (Creator-Product-Video-User) to uncover hidden relationships and organized bad actors (e.g., fake engagement rings, black-market account trading, sybil attacks)
• Cross-Domain Risk Propagation: Utilize graph algorithms to track how risk propagates across different scenarios (Content vs. Shelf) and markets, predicting where bad actors will migrate next
• Multi-Objective Optimization (MMoE/PLE): Develop advanced multi-task learning models to balance conflicting objectives—maximizing Ecosystem Prosperity and GMV while minimizing Governance Risk and User Complaints
• Fairness Algorithms: Design traffic regulation strategies that prevent the "rich get richer" effect for low-quality diverse content, ensuring fair exposure for high-quality, original creators

What they're looking for:

• - Bachelor's degree or above in computer science or related field
• - Proficient in Python/C++ with strong hands-on experience in PyTorch or TensorFlow
• - Deep expertise in at least one of the following areas: NLP/LLM (Agents/Tuning), Graph Neural Networks (GNN), Sequence Modeling, or Machine Learning
• - 1+ years of experience in Content Governance, Trust & Safety, Creator Ecology, or Advertising/Search/Recommendation
• - You view problems through an ecosystem lens—caring about Health, Fairness, and Diversity, not just binary classification metrics (Precision/Recall)
• - Ability to translate abstract business goals (e.g., "Improve Creator Fairness") into concrete mathematical definitions and model targets
• - Strong communication skills to articulate algorithmic strategies to Policy, Operations, and Product teams
• - You enjoy the "cat and mouse" game of outsmarting evolving bad actor techniques
• - Cutting-Edge Application: Experience with RAG, DPO/RLHF, or Multi-Modal Representation Learning in a production environment is highly preferred

Benefits:

• Additional discretionary bonuses/incentives
• Restricted stock units
• Day one access to medical, dental, and vision insurance
• A 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year