Senior Machine Learning Engineer (CV/NLP/Multimodal/LLM/Agent)-E-Commerce Government
Seattle, Washington, United States
USD 136K-266K (estimate) Senior-level Full Time
Tasks
- Build graph storage and graph learning platform
- Build large model training data and run instruction fine tuning
- Construct large scale networks and multimodal representations
- Detect fraudulent merchants and creators
- Develop multi-agent tools, models, engines, and platforms
- Fine tune computer vision for product classification and recognition
- Identify risk and violation algorithms for ecommerce content
- Optimize NLP vision multimodal search graph and LLM models for ecommerce governance
- Optimize agent system performance and stability
- Optimize content deduplication clustering for ecommerce data
- Optimize risk mining for comments reports and public opinion content
- Optimize text based risk identification for ecommerce copywriting and voice
- Optimize video classification and multimodal content understanding
- Research large scale multimodal algorithms and deploy in ecommerce scenarios
- Research reinforcement learning for audit scheduling and dispatching
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Alignment Training | C++ | CoT prompting | Computer Vision | Data Mining | Deep learning | Fine Tuning | Go | Graph Algorithms | Graph Neural Networks | Instruction Fine-Tuning | Language Models | Language Processing | Large Language Models | Linux | Machine Learning | Multi-Agent | Multi-Agent Systems | Multimodal Learning | Natural Language | Natural Language Processing | Neural Networks | Python | Reinforcement Learning | Search Algorithms | Text Mining
Education
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