Research Scientist Graduate(Global E-commerce Content Recommendation) - 2026 Start (PhD)
Core
Designing algorithms and systems leveraging LLMs and generative models for content-to-commerce matching and product summarization within a global e-commerce recommendation platform.
Role type
PhD-level research scientist (generative AI & recommendation systems)
Builds
Production recommendation models and generative user-item interactions
Domain
E-commerce, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
LLMs, generative models, Python, deep learning frameworks (TensorFlow/PyTorch), rigorous research, large-scale data analysis
Preferred skills
ML/AI conference publications, recommendation systems, retrieval models, multi-modal learning, real-time scalable ML systems, e-commerce applied AI research
Technologies
GPT, LLaMA, PaLM, diffusion models, TensorFlow, PyTorch
Responsibilities
Design algorithms for content-to-commerce matching; Explore novel architectures for generative recommendation systems; Contribute to research community via papers/patents/publications; Drive scientific rigor while balancing real-world constraints
Seniority
PhD, Research Scientist
