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

What you'll do

• Develop and improve recommendation systems, including generative recommendation techniques and multimodal content generation.
• Build unified recommendation systems across livestreams, short videos, and search, and deliver end-to-end machine-learning solutions.
• Optimize machine-learning algorithms and infrastructure, collaborating with cross-functional teams on product strategies.

What they ask for

• Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline.
• Strong foundation in machine learning and knowledge of cutting-edge AI technologies.
• Familiarity with 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 top-tier academic conferences or competition experience.
• Knowledge of model compression or inference acceleration, or expertise in computer vision, multimodality, or NLP.

Tools

Diffusion Models, Hadoop, MapReduce, Spark, TensorFlow, PyTorch, TensorRT

AI focus

Develop a foundational multimodal large model and agent framework for e-commerce, using LLMs and world models for personalized recommendations, forecasting, and other intelligent decisions; explore generative recommendation, multimodal modeling, item tokenization, and agent evaluation and safety.