Research Scientist – E-commerce Recommendation(LLM Applications) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

What you'll do

• Design LLM- and generative-model-based systems for content-to-commerce matching and product summarization.
• Explore architectures and strategies for generative recommendation systems.
• Contribute through internal papers, patents, or external publications, while balancing scientific rigor with real-world constraints.

What they ask for

• Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Strong foundation in machine learning and knowledge of cutting-edge AI technologies.
• Familiarity with big data frameworks such as Hadoop, MapReduce, and Spark.
• Experience with TensorFlow or PyTorch for model training and deployment, and understanding of mixed precision and distributed training.

Nice to have

• Publications in accredited academic conferences or competition experience.
• Knowledge of model compression and inference acceleration, or expertise in computer vision/multimodality or NLP.

Tools

Hadoop, MapReduce, Spark, TensorFlow, PyTorch, SGLang, TensorRT

AI focus

Build a foundational multimodal e-commerce model and agent framework, applying LLMs and generative recommendation to product matching, summarization, demand forecasting, traffic allocation, and personalized recommendations.