通信AI/ML Infra工程师-豆包手机助手（北京/深圳）
Core
Building ML/GenAI infrastructure systems for network and wireless communication scenarios, focusing on edge deployment and optimization of models like Boost/DNN/RL/LLM.
Role type
ML Infrastructure Engineer (Edge/Communication)
Builds
Model training pipelines, inference services, and performance monitoring tools for communication networks.
Domain
Telecommunications and Artificial Intelligence
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch/TensorFlow), model training and inference, edge deployment, model compression, performance optimization
Preferred skills
Experience with Agentic Systems, sparse label modeling, intent understanding, top-tier conference publications (GLOBECOM, ICC, SIGCOMM, INFOCOM, NeurIPS, ICML) or core patents
Technologies
PyTorch, TensorFlow, Boost, DNN, RL, LLM
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