推荐大模型/生成式推荐算法工程师-Data
Core
Design and optimize end-to-end recommendation algorithms focusing on LLM-based generative recommendation, scaling up massive models, and multimodal LLMs for products like Red Fruit Short Dramas, Jianying, Tomato Novel, Qishui Music, Toutiao, and Xigua Video.
Role type
Senior IC machine-learning engineer (generative recommendation)
Builds
Recommendation systems for short dramas, video, music, and news products
Domain
Internet / Generative AI / Recommendation Systems
Deliverable
production ML models
Required skills
Deep learning, Large Language Models (LLM), Reinforcement Learning, Model training frameworks (PyTorch/TF), Data structures and algorithms, Multimodal learning
Preferred skills
LLM or generative recommendation project experience, International conference publications, GitHub technical contributions, Kaggle/ACM awards
Technologies
PyTorch, TensorFlow, LLMs, Reinforcement Learning, Multimodal models
Responsibilities
Design and optimize generative recommendation models across recall, coarse ranking, fine ranking, and mixed ranking stages; Research and apply multimodal technologies to fuse text, image, and video data; Develop mixed sorting for marketing and recommendation content using generative and listwise modeling; Track and explore latest research in generative AI and recommendation systems.