大模型训练/推理优化工程师 - Seed Model
Core
Design and develop large-scale machine learning system architecture to support model training and inference for general-purpose AI models.
Role type
Senior IC machine learning systems engineer
Builds
High-concurrency, high-reliability ML infrastructure for MLLM, GenMedia, and AI for Science applications
Domain
Artificial Intelligence / Distributed Systems
Deliverable
infrastructure
Required skills
C/C++, Python, Linux, GPU programming, compiler optimization, distributed storage, cluster scheduling, heterogeneous computing
Preferred skills
Reinforcement learning (RL) environment interaction, workflow orchestration, algorithm-system co-optimization
Technologies
TensorFlow, PyTorch, MxNet, custom frameworks
Responsibilities
Design and develop large-scale ML system architecture; Manage resource scheduling, model training, inference, and data management; Research and integrate cutting-edge hardware and computing technologies; Collaborate with algorithm teams for joint optimization
Seniority
Senior, hands-on IC