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Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start (PhD)
Seattle, Washington · Full-time · Posted Oct 28, 2026
- Experience
- No number of years specified; practical experience in machine learning/deep learning is required.
- Education
- PhD in Software Development, Computer Science, Computer Engineering, or a related discipline; candidates must be completing or recently completed the degree.
About the job
Develop machine-learning and AI systems to detect e-commerce risks and violations, improve content and product quality, and optimize moderation and audit operations.
What you'll do
- Build algorithms to detect fraudulent behavior and identify risky, violated, or low-quality products, merchants, creators, and content.
- Optimize large-scale brand, product, and content deduplication and clustering; work on data construction, instruction fine-tuning, CoT, and alignment for e-commerce large models.
- Explore reinforcement learning and operational research for intelligent dispatching and audit scheduling.
What they ask for
- Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related discipline.
- Solid coding skills; able to develop in Linux and proficient in Python, Go, or C++.
- Strong foundations in data structures, algorithms, machine learning, and deep learning, with practical experience.
- Familiarity with 1–2 areas among NLP, computer vision, multimodal, graph or search algorithms, text/data mining, and LLM.
Nice to have
- Experience in platform governance, audit, risk control, content security, or overseas internet/e-commerce business.
- Good team spirit and strong communication skills.
Tools
Linux, Python, Go, C++, CoT
AI focus
Machine learning and large-model work for e-commerce risk detection, governance, content quality, deduplication, intelligent dispatching, and audit scheduling.
Model-written summary · the original posting is authoritative