大模型推荐算法工程师-Data AML
Core
Optimize multi-scenario recommendation systems (information feed, short video, cross-modal content) using large language models and deep recommendation algorithms to improve content distribution efficiency and user experience on platforms like Douyin and Toutiao.
Role type
Senior IC large model recommendation algorithm engineer
Builds
Production recommendation algorithms and user interest profiling frameworks for content distribution platforms
Domain
Internet / AI / Large Language Models / Recommendation Systems
Deliverable
production ML models
Required skills
Large language model architecture (Transformer, BERT, GPT), Deep learning frameworks (PyTorch, TensorFlow), Distributed training, Multi-task learning, Contrastive learning, Reinforcement learning, Recommendation system strategies (recall, ranking), Big data processing (Hadoop, Spark)
Preferred skills
DNN, GBDT, LR
Responsibilities
Design recommendation algorithm solutions integrating large model capabilities to solve cold start, content ecosystem balance, and cross-scenario migration issues; Analyze and resolve recommendation problems such as cold start, style optimization, and model calibration; Improve product platform functionality to achieve platformization and automation for higher access efficiency.