推荐大模型算法工程师-国际化短视频
Core
Research and develop large-scale recommendation systems for international short video platforms, focusing on scalability, accuracy, and performance.
Role type
Senior IC machine-learning engineer (recommendation systems)
Builds
Large-scale recommendation models and inference pipelines for short video content
Domain
Internet / Recommendation Systems / Deep Learning
Deliverable
production ML models
Required skills
Deep learning (Transformer, CNN, RNN, LSTM), Recommendation systems, Model compression and quantization, Sequence modeling, Multimodal modeling, Large-scale data processing
Preferred skills
Publications in top-tier conferences (RecSys, SIGGRAPH, CVPR, ICML, NeurIPS, ICLR), PhD or Master's degree in CS/ML/AI/Statistics
Technologies
Transformer, CNN, RNN, LSTM
Responsibilities
Design and implement deep learning techniques for sequence and multimodal modeling, Develop and deploy model compression and efficient inference solutions, Manage the full lifecycle of recommendation models (training, fine-tuning, deployment, monitoring), Collaborate on engineering and modeling solutions for international short video relevance
