Machine Learning Engineer Intern (E-Commerce Recommendation Foundation) - 2027 Start (PhD）
Core
Building shared Recommendation Foundation Models using event-sequence-driven generative paradigms integrating LLMs/VLMs, multimodal understanding, and reinforcement learning.
Role type
PhD intern, research & engineering IC
Builds
Next-generation recommendation systems (retrieval, ranking, end-to-end generative)
Domain
E-commerce, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Python, PyTorch, LLMs, Generative recommendation, Multimodal understanding, Reinforcement learning
Preferred skills
Pre-training/Mid-training/Post-training of LLMs, Multimodal semantic tokenization, Top-tier ML/NLP conference publications
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