Machine Learning Platform R&D Expert Engineer

6 days ago

Singapur, Singapore Shopee Full time

Join to apply for the Machine Learning Platform R&D Expert Engineer (Parameter Server Direction) - EGO Team role at Shopee

6 days ago Be among the first 25 applicants

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
  • At least 3 years of relevant hands-on experience
  • Proficient in C++ programming with strong low-level technical skills; adept at multi-threaded programming, lock optimisation, 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.
Senior Leadership / Employment
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: Software Development, Internet Marketplace Platforms, and Technology, Information and Internet

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