Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance
San Jose, California, United States
USD 136K-266K (estimate) Senior-level Full Time
Tasks
- Build data construction and instruction fine tuning for large models
- Detect fraudulent behaviors and risky merchants and creators
- Explore reinforcement learning for intelligent dispatching and audit scheduling
- Extract features for product image classification and recognition
- Fine tune large language models with alignment
- Identify risk and violation issues in e commerce
- Implement large scale graph storage and graph learning platforms
- Model multimodal representations and community mining
- Optimize NLP vision and multimodal models for e commerce governance
- Optimize algorithms for data deduplication clustering
- Optimize risk mining for comments reports and public opinion content
- Optimize text risk identification for product copy and voice descriptions
- Optimize video classification and multimodal content mining
Perks/Benefits
- N/A
Skills/Tech-stack
Alignment | Audio Processing | COT | Clustering | Computer Vision | Deduplication | Fine Tuning | Graph Learning | Instruction Fine-Tuning | LLM | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Learning | NLP | Natural Language | Natural Language Processing | Reinforcement Learning | Search Algorithms | Speech Recognition | Video Classification | Vision
Education
N/A
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