Machine Learning Engineer (Content Ecology & Creator) - E-commerce Governance jobs in United States
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TikTok · 2 weeks ago

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

TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Engineer to join their Governance & Experience Algorithm Team. The role focuses on building a trusted content ecosystem for TikTok Shop, utilizing advanced machine learning techniques to ensure fair governance and quality among creators.

Content CreatorsContent DiscoveryMedia and EntertainmentSocial MediaVideo
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

PythonPyTorchTensorFlowNLP/LLMGraph Neural NetworksSequence ModelingContent GovernanceEcosystem lensCommunication

Required

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

Preferred

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

Benefits

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
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

Company

TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance.

H1B Sponsorship

TikTok has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (979)
2024 (601)
2023 (387)
2022 (322)
2021 (133)
2020 (72)

Funding

Current Stage
Late Stage

Leadership Team

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N Ali Mohamed
CEO
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Blake Chandlee
VP Global Business Solutions
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Company data provided by crunchbase