大模型算法工程师--电商业务
Core
Building and optimizing large-scale LLMs and foundational algorithms (NLP/CV/Multimodal) specifically for e-commerce business scenarios.
Role type
Senior IC Machine Learning Engineer (Large Language Models & Multimodal)
Builds
E-commerce domain-specific LLMs, pre-trained models, and multimodal representations for product and content understanding.
Domain
E-commerce, Natural Language Processing, Computer Vision, Multimodal AI
Deliverable
production ML models
Required skills
Large Language Model (LLM) development, Pre-training algorithms (BERT, self-supervised), Multimodal representation learning, Distributed training optimization, Model compression and inference acceleration (quantization, pruning, distillation, TensorRT), Deep learning frameworks (PyTorch, TensorFlow), Big data frameworks (Spark, MR)
Preferred skills
Publications in top-tier conferences (CVPR, ACL, EMNLP), Kaggle/competition awards, Experience with e-commerce video/product multimodal tasks
Technologies
PyTorch, TensorFlow, Spark, MR, TensorRT, BERT, LLMs
Responsibilities
Develop e-commerce LLMs and multimodal models; Optimize pre-training pipelines for long-text and image/video data; Abstract algorithm interfaces to improve model reuse; Research and share SOTA models for business application.
