Research Scientist – E-commerce Recommendation(LLM Applications) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Build a foundational large multimodal model and modular Agent framework for end-to-end intelligent decision-making in global e-commerce, unifying users, products, content, logistics, and inventory to drive personalized recommendations and demand forecasting.
Role type
Research Scientist (LLM Applications & Generative Recommendation)
Builds
A general-purpose multimodal foundation model and pluggable Agent framework for e-commerce workflows
Domain
E-commerce, Large Language Models, Multimodal AI, Generative AI
Deliverable
production ML models
Required skills
Machine learning, Large Language Models (LLMs), Multimodal learning, Big data frameworks (Hadoop, MapReduce, Spark), Deep learning frameworks (TensorFlow, PyTorch), Distributed training, Model training and deployment
Preferred skills
Model compression and inference acceleration (quantization, pruning, distillation, TensorRT), Computer Vision & Multimodality, Natural Language Processing (NLP), Pretraining techniques, Transfer learning, Reinforcement Learning from Verifiable Rewards (RLVR)
Technologies
SGLang, Hadoop, MapReduce, Spark, TensorFlow, PyTorch, TensorRT
Responsibilities
Design algorithms leveraging LLMs and generative models for content-to-commerce matching; Explore novel architectures for generative recommendation systems; Contribute to research via internal papers, patents, or external publications; Drive scientific rigor while balancing real-world constraints
Seniority
PhD level, Research Scientist
