TikTok
Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance
San Jose, California · 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 algorithms and large-scale multimodal systems to detect e-commerce risks and improve content governance, audit efficiency, and shopping experiences.
What you'll do
- Build and optimize algorithms for detecting risky, violating, fraudulent, or low-quality products, content, merchants, and creators.
- Improve computer-vision, NLP, multimodal, search, graph, and LLM systems for e-commerce content and risk identification.
- Develop large-model data and training workflows, and explore reinforcement learning and graph-learning infrastructure for governance and 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.
- 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 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; experience studying, working, or living overseas.
Tools
Python, Go, C++, Linux, NLP, computer vision, multimodal, LLM
AI focus
E-commerce governance AI, including risk and violation detection, multimodal content understanding, large-model fine-tuning and alignment, graph learning, and intelligent audit scheduling.
Model-written summary · the original posting is authoritative