Multimodal LLM Algorithm Engineer Graduate (Global E-Commerce, Knowledge Graph) - 2027 Start (PhD)
Tasks
- Build cross lingual product aggregation
- Build generative search and recommendation systems
- Build localized lifestyle scene generation
- Build product catalog understanding systems
- Conduct badcase analysis and continuous iteration
- Construct multimodal semantic links
- Detect pricing anomalies
- Develop agent workflows using RAG and tool calling
- Develop generative algorithms for e commerce visual creatives
- Develop identical product matching algorithms
- Develop pricing comparison and monitoring algorithms
- Implement identity preserving image generation
- Implement virtual try on generation
- Manage end to end algorithm lifecycle data training evaluation deployment
- Perform product merchant brand deduplication
- Train multimodal embedding and SID models
Perks/Benefits
- N/A
Skills/Tech-stack
Agent planning | Computer Vision | ControlNet | Diffusion Models | Distributed Training | Embeddings | GANs | Generative Models | Inference Optimization | Language Models | Language Processing | Large Language Models | Machine Learning | Mixed Precision | Model Evaluation | Multimodal Learning | Multimodal Retrieval | Natural Language | Natural Language Processing | PyTorch | Retrieval-Augmented Generation | Semantic Matching | TensorFlow | TensorRT | Tool-Calling | Vision Language Models | Vision-language
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Research Engineer
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