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Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

Seattle, Washington · Full-time · Posted Oct 28, 2026

Education
Bachelor's degree or above in computer science or related field

About the job

Develop and optimize machine-learning systems to detect e-commerce risks and violations, improve content and product understanding, and support platform governance and audit operations.

What you'll do

  • Build and optimize algorithms for detecting risky, fraudulent, violated, or low-quality products, content, merchants, and creators.
  • Improve computer vision, NLP, multimodal, search, graph, and LLM systems for e-commerce content and product understanding.
  • Develop large-model data and fine-tuning methods, and explore reinforcement learning and operations research for audit scheduling.

What they ask for

  • Bachelor's degree or above in computer science or a related field.
  • Proficient in Python, Go, or C++, with Linux development ability and solid coding skills.
  • Strong data structures and algorithms foundation; proficient in machine learning and deep learning theory, 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.
  • Fluent English; overseas study, work, or living experience.

Tools

Python, Go, C++, Linux, NLP, computer vision, multimodal, LLM

AI focus

E-commerce governance AI: risk and violation detection, computer vision and multimodal content understanding, large-model fine-tuning and alignment, graph learning, and intelligent audit scheduling.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)