生成式定向实习生（大模型方向）（J104599）
Core
Optimize foundational large models for recommendation scenarios, exploring Scaling Laws to enhance understanding and reasoning in complex recommendation contexts.
Role type
Generative AI Research Engineer (Recommendation Systems)
Builds
End-to-end recommendation models and multi-modal generative recall systems
Domain
Recommendation Systems / Large Language Models / Multi-modal AI
Deliverable
production ML models
Required skills
Large model optimization, Scaling Law exploration, Multi-modal generative recall, End-to-end model architecture, Multi-objective optimization, Python, C++, PyTorch/TensorFlow, Linux development
Preferred skills
Experience in NLP or Computer Vision, Business insight for ad revenue/LTV maximization
Responsibilities
Optimize foundational models for recommendation, develop generative recall techniques, build unified end-to-end recommendation frameworks, design multi-objective optimization schemes for ad revenue and LTV
