Machine Learning Engineer; Content Ecology & Creator; E-commerce Governance Job Seattle area,Washington USA,Software Development

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

Responsibilities

Global E-Commerce | Governance & Experience Algorithm Team

About the Team Building a Prosperous, Trusted, and Fair Global E-Commerce Ecosystem

We are the Governance & Experience Algorithm Team, the AI guardians ensuring the long-term health of Tik Tok Shop’s global platform.

As our international business expands, our mission goes beyond traditional risk control. We are dedicated to constructing a prosperous, trusted content ecosystem and maintaining a fair, healthy environment for creators.

We leverage LLM agents, RAG, GNN, and Sequence Modeling to solve complex governance challenges. We don't just block bad actors; we shape the rules of the game to ensure that creativity is rewarded, fairness is upheld, and the ecosystem thrives.

Our Core Mission:

Trust & Quality:
Ensuring users trust what they see, establishing a standard where "Good Content = Good Business."
Creator Governance:
Managing the full lifecycle of creators by identifying malicious intent (e.g., piracy, content mills) while protecting high-potential authentic creators.
Ecosystem Fairness: using AI to ensure fair traffic distribution and prevent monopolies by bad actors, fostering a diverse and sustainable creator community.

What You’ll Do

Creator Governance & Quality Modeling

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.

Graph Intelligence & Syndicate Detection

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.

Ecosystem Strategy, Fairness & Optimization

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.

Qualifications

Minimum Qualifications:

Bachelor's degree or above in computer science or related field
Proficient in Python/C++ with strong hands‑on experience in PyTorch or Tensor Flow
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

Preferred Qualifications

Cutting-Edge Application:
Experience with RAG, DPO/RLHF, or Multi-Modal Representation Learning in a production environment is highly preferred
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

About Tik Tok

Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London,…