Large Recommendation Model Algorithm Engineer Intern (Global E-Commerce) - 2027 Start (PhD)
Tasks
- Apply LLMs to retrieval and ranking
- Balance efficiency and user experience
- Build shared foundation models
- Develop event sequence generative recommendation
- Integrate LLMs and VLMs with recommendation systems
- Integrate multimodal understanding
- Optimize model training and inference
- Optimize recommendation systems
- Optimize shared foundation models
- Research generative recommendation methods
Perks/Benefits
- Collaboration with industry experts
- Community building
- Hands-on learning
- Professional development events
Skills/Tech-stack
Deep learning | Inference Optimization | Information Retrieval | Language Models | Large Language Models | Machine Learning | Multimodal Learning | PyTorch | Python | Ranking | Recommendation Systems | Reinforcement Learning | Retrieval
Education
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