算法工程师-Data
Core
Building and optimizing large-scale e-commerce foundation models (LLM, NLP, CV, multi-modal) to support business tasks like classification, QA, and retrieval.
Role type
Senior IC machine-learning engineer (e-commerce LLM & multi-modal)
Builds
Pre-trained e-commerce models, NLP/CV/multi-modal models, and optimized inference pipelines
Domain
E-commerce, Large Language Models, Computer Vision, Multi-modal AI
Deliverable
production ML models
Required skills
Large language model (LLM) development, NLP (pre-training, understanding, generation), Computer Vision (CV), multi-modal learning, distributed training, model compression (quantization, pruning, distillation), deep learning frameworks (PyTorch, TensorFlow), big data frameworks (Spark, MR)
Preferred skills
Top-tier conference publications (CVPR, ACL, EMNLP), Kaggle/competition awards, SOTA model research, cross-modal retrieval, video QA
Technologies
PyTorch, TensorFlow, Spark, MR, TensorRT, BERT, LLMs
Responsibilities
Develop e-commerce LLMs and multi-modal models for business scenarios; Optimize pre-training pipelines for text, image, and video; Abstract algorithm interfaces to improve model reusability; Share SOTA models and publish patents/papers
Seniority
Senior, hands-on IC
