机器学习研发工程师-搜索架构
Core
Develop search architecture systems and build ML infrastructure/frameworks/tools to support algorithm production and efficient iteration for search business.
Role type
Senior IC machine-learning infrastructure engineer (search)
Builds
Search architecture systems, ML infrastructure/frameworks, toolchains, high-performance operator libraries, and distributed computing environments.
Domain
Search, Large-scale distributed computing, GPU computing
Deliverable
production ML models
Required skills
Computer science fundamentals, data structures, algorithms, operating systems, programming proficiency, GPU parallel computing, deep learning frameworks (PyTorch, TensorFlow), high-performance parallel programming (CUDA, Triton), large model inference frameworks (vLLM, TRT-LLM), distributed training frameworks (FSDP, DeepSpeed, Megatron)
Preferred skills
Experience with large model concurrent inference principles, optimization methods for GPU computing
Responsibilities
Design and implement ML infrastructure/frameworks/tools, maintain robust invocation chains, support large-scale task scheduling and distributed computing environments, design and develop high-performance operator libraries.
Seniority
Senior, hands-on IC