大模型训练系统工程师-Data AML
Core
Design and develop serverless training systems for large model post-training (SFT, RL) supporting multi-tenant scenarios across multi-datacenter and heterogeneous hardware.
Role type
Senior IC large model training systems engineer
Builds
Elastic training solutions, reinforcement learning systems, and user-friendly training interfaces
Domain
AI infrastructure, distributed systems, large language models
Deliverable
production ML models
Required skills
Python, Rust, C++, framework design, distributed system development, performance optimization, scientific modeling
Preferred skills
heterogeneous hardware optimization, high-performance networking, reinforcement learning frameworks
Responsibilities
Design elastic training schemes for complex multi-tenant scenarios; optimize training throughput and stability; design reinforcement learning systems and interfaces
