深度学习架构工程师-推荐系统
Core
Design and develop recommendation system architectures for ByteDance products (Toutiao, Douyin), focusing on large-scale machine learning online inference, offline data stream optimization, and building recommendation/data middle platforms.
Role type
Senior IC deep learning systems engineer (recommendation systems)
Builds
High-performance online inference frameworks, offline data processing pipelines, and scalable recommendation middle platforms
Domain
Internet / Recommendation Systems / Distributed Systems
Deliverable
production ML models
Required skills
C/C++ programming, Linux environment, computer architecture, deep learning framework internals (TensorFlow/PyTorch), large-scale data processing, model training and scheduling
Preferred skills
Custom operator implementation, operator optimization, model pruning, quantization, compression, hardware-software co-optimization
Responsibilities
Research and optimize large-scale machine learning online inference frameworks; process and manage large-scale features and samples; collaborate with algorithm teams to solve system bottlenecks and optimize performance
Seniority
Senior, hands-on IC
