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

What you'll do

• Build and optimize recommendation systems and their machine-learning infrastructure.
• Explore generative recommendation techniques, including Diffusion Models, prompt learning, and multimodal content generation.
• Work with cross-functional teams to develop solutions and product strategies for important markets.

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 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

• Knowledge of model compression and inference acceleration, including quantization, pruning, distillation, and TensorRT optimization.
• Expertise in computer vision and multimodality or natural language processing; publications in top-tier conferences or competition experience are also preferred.

Tools

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

AI focus

Develop recommendation LLMs, multimodal foundation models, generative recommendations, and agent-based systems for e-commerce; address data fusion, item tokenization, evaluation, safety, and compliance.