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

What you'll do

• Build creator quality models and sequence-based systems to detect low-quality or malicious behavior, and develop explainable LLM and RAG governance agents.
• Use heterogeneous graph mining and risk-propagation methods to detect coordinated abuse across content, products, users, and markets.
• Develop multi-objective models and traffic strategies that balance ecosystem growth, governance risk, user complaints, and fair creator exposure.

What they ask for

• Bachelor’s degree or above in computer science or a related field.
• Proficiency in Python/C++ and hands-on experience with PyTorch or TensorFlow.
• Deep expertise in at least one of NLP/LLM, Graph Neural Networks (GNN), Sequence Modeling, or Machine Learning.
• 1+ years of experience in Content Governance, Trust & Safety, Creator Ecology, or Advertising/Search/Recommendation.

Nice to have

• Production experience with RAG, DPO/RLHF, or Multi-Modal Representation Learning.
• Ability to translate business goals into mathematical definitions and model targets; strong communication skills.

Tools

Python, C++, PyTorch, TensorFlow, LLM, RAG, GNN, DPO/RLHF

AI focus

Applies machine learning, LLM agents and RAG, graph intelligence, sequence modeling, and multi-objective optimization to creator governance, risk detection, content quality, and fairness.