Machine Learning Engineer Graduate (E-Commerce Recommendation Foundation) - 2027 Start
Core
Building shared Recommendation Foundation Models using event-sequence-driven generative paradigms integrating LLMs/VLMs, multimodal understanding, and reinforcement learning.
Role type
Graduate Machine Learning Engineer (Generative Recommendation)
Builds
Next-generation recommendation systems spanning retrieval, ranking, and end-to-end generative recommendation.
Domain
E-commerce, Large Language Models, Multimodal AI
Deliverable
production ML models
Required skills
Python, PyTorch, Machine Learning, Deep Learning, LLMs, Generative Recommendation
Preferred skills
Foundation Model training (pre/mid/post), Multimodal semantic tokenization, Top-tier ML/NLP conference publications
Technologies
PyTorch, LLMs, VLMs
Responsibilities
Participate in full training lifecycle of Recommendation Foundation Models; Design and train multimodal semantic tokenizers; Develop LLM-native recommendation; Build next generation recommendation systems.
Seniority
Graduate (Entry-level)
