国际化广告算法工程师-推荐大模型(北京/上海/杭州)
Core
Building next-generation ad delivery systems by integrating large language models with ad algorithms to maximize monetization efficiency through long-sequence modeling, generative recommendation, and foundation model scaling.
Role type
Senior IC machine-learning engineer (ad recommendation & LLM)
Builds
High-concurrency ad delivery systems utilizing multi-modal entity-based modeling and optimized LLM inference.
Domain
Advertising, Recommendation Systems, Large Language Models, Multi-modal AI
Deliverable
production ML models
Required skills
C++, Python, Deep Learning, Transformer architectures, Generative AI, Sparse Attention, Sparse MoE, KV Cache optimization, Multi-modal modeling, Distributed computing
Preferred skills
Top-tier conference publications (KDD, NeurIPS, etc.), Kaggle/ACM competition awards, Experience with TensorFlow/PyTorch, Reinforcement Learning
Technologies
Hadoop, Spark, TensorFlow, PyTorch, Next-gen GPUs
Responsibilities
Explore and implement LLM-based ad delivery systems; Develop multi-modal entity-based ad targeting; Optimize LLM inference for high-concurrency scenarios; Research and deploy cutting-edge LLM technologies on new hardware.
