ByteDance
Machine Learning Engineer, E-commerce Governance Algorithms
Seattle, Washington · Full-time · Posted Oct 28, 2026
- Experience
- 3+ years in anti-fraud, prediction/forecasting, e-commerce governance, or related fields.
About the job
Build AI and machine-learning systems to detect e-commerce risks, improve seller compliance, and forecast logistics and inventory issues.
What you'll do
- Develop graph-based risk networks and multimodal LLM systems to detect fraudulent or low-quality listings and risky sellers.
- Build forecasting and multi-task models to improve logistics, inventory, and platform health.
- Apply causal inference and LLM reasoning techniques to improve recommendations and e-commerce risk assessments.
What they ask for
- Proficient in Python/C++ and PyTorch/TensorFlow.
- Deep experience with graph neural networks, time series analysis, or LLM.
- Track record of delivering AI solutions with measurable business impact.
Nice to have
- Passion for tackling ambiguous challenges and translating ideas into scalable solutions.
- Strong communication skills to collaborate cross-functionally and influence stakeholders.
Tools
Python, C++, PyTorch, TensorFlow, Graph Neural Networks, Multi-Objective Optimization, Time Series Prediction, Large Language Models (LLM)
AI focus
Develop and optimize AI systems for fraud and quality detection, logistics forecasting, seller compliance, risk assessment, and personalized recommendations; work includes graph neural networks, multimodal LLMs, and time-series models.
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