Senior Backend Engineer (Machine Learning Server Parameter) - EGO team
Summary
The Senior Backend Engineer will develop distributed Parameter Server systems for large-scale machine learning training and inference, focusing on high-performance C++ development to support e-commerce recommendation and advertising algorithms.
About The Team
The EGO team is dedicated to building an industry-leading machine learning platform to effectively support the implementation of algorithms across various business domains such as recommendation, search, and advertising. It focuses on extreme optimization for CTR/CVR prediction in large-scale sparse parameter scenarios, ensuring maximum performance in e-commerce applications and delivering greater value to the company.
The EGO platform covers the entire deep machine learning workflow — from sample organization and training to model building and publishing, and further to online model loading and inference services. It comes with a user-friendly Web UI and Restful API, providing an end-to-end, one-stop machine learning platform.
Job Description
- Develop distributed Parameter Server (PS) systems for large-scale sparse model training and inference platforms in the search, advertising, and recommendation domains. The system should support high-throughput parameter read/write and update operations, handle hundreds of billions of features and TB‑level sparse models, enable online real‑time learning, and meet algorithmic needs such as feature admission and expiration.
- Participate in the development of the one‑stop machine learning platform, integrating the PS system into the platform to provide a user‑friendly, stable, high‑performance, and platform‑level distributed parameter service system. Enhance the platform’s efficiency and usability, accelerating the model iteration process for algorithm teams.
Requirements
- Bachelor’s degree or above in Computer Science, Electronics, Automation, Software Engineering, or related fields, with at least 3 years of work experience.
- Proficient in C++ programming with strong low‑level technical skills; adept at multi‑threaded programming, lock optimization, memory pool, thread pool, template programming, GDB debugging, performance tuning, and RPC frameworks.
- Familiarity with distributed PS systems, distributed system backend optimization, high‑performance in‑memory KV systems, KV storage systems based on NVMe‑SSD, and high‑performance client‑server architecture systems is a plus.
- Highly passionate about computer technology, proactive in learning, with a strong spirit of in-depth research and hands‑on practice. Maintains high standards and strict requirements for delivered code; works with rigor and attention to detail.
- Strong team player with excellent continuous learning ability.