Senior Backend Engineer - High-Performance ML Platform

Shopee; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Shopee invites an experienced C++ engineer to join the EGO team, building high-performance distributed parameter server systems for large-scale recommendation, search and ads. You will optimize multi-threaded code and work with KV storage and NVMe-backed systems to support real-time inference and offline training.

Responsibilities include integrating PS into the ML platform and delivering robust, scalable software through strong debugging and profiling skills, collaboration, and rigorous code

Qualifications

• Bachelor’s degree or above in CS, Electronics, Automation, Software Eng., or related fields with at least 6 years of experience.
• Proficient in C++ with strong low-level skills; multi-threading, memory management, GDB, performance tuning, RPC.
• Experience with distributed PS and high-performance in-memory KV/storage systems is a plus.

Responsibilities

• Develop distributed Parameter Server (PS) systems for large-scale models in search, ads, and recommendations.
• Integrate PS system into one-stop ML platform to provide stable, high-performance services.

Skills

C++

Multithreading

Lock optimization

Memory pool

Thread pool

Template programming

GDB debugging

Performance tuning

RPC frameworks

Education

Bachelor’s degree

Tools

KV storage systems

NVMe-SSD

Distributed PS systems

Job description

Shopee invites an experienced C++ engineer to join the EGO team, building high-performance distributed parameter server systems for large-scale recommendation, search and ads. You will optimize multi-threaded code and work with KV storage and NVMe-backed systems to support real-time inference and offline training.

Responsibilities include integrating PS into the ML platform and delivering robust, scalable software through strong debugging and profiling skills, collaboration, and rigorous code