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Senior Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance
Seattle, Washington · Senior · Full-time · Posted Oct 28, 2026
- Education
- Bachelor's degree or above in computer science or related field
About the job
Develops and optimizes machine-learning systems to detect e-commerce risks and low-quality content, improve product and content understanding, and support governance operations.
What you'll do
- Build and optimize algorithms for identifying risky, violating, fraudulent, or low-quality products, content, merchants, and creators.
- Improve computer-vision, NLP, multimodal, graph, search, and LLM systems for e-commerce content and risk detection.
- Develop large-model data and fine-tuning approaches, and explore reinforcement learning and operational research for audit scheduling.
What they ask for
- Bachelor's degree or above in computer science or a related field.
- Proficiency in Python, Go, or C++, with Linux development ability and solid coding skills.
- Strong foundations in data structures, algorithms, and machine learning/deep learning, with practical experience.
- Familiarity with 1–2 areas among NLP, computer vision, multimodal, graph algorithms, 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.
- Experience studying, working, or living overseas.
Tools
Python, Go, C++, Linux
AI focus
Applies machine learning, computer vision, NLP, multimodal models, LLMs, graph learning, reinforcement learning, and operational research to e-commerce risk detection, content understanding, governance, and audit scheduling.
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