Model Serving Engineer

Job Summary

To support the development of high-performance inference platforms, the full-time Model Serving Engineer will design, build, and operate systems for serving large machine learning models remotely.

Key Responsibilities

• Design and operate model serving platforms for diverse workloads, including LLMs and recommendation systems
• Optimize inference performance through techniques such as continuous batching and request multiplexing
• Implement autoscaling and capacity management systems to balance latency, throughput, and cost

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related field
• Six or more years of experience in distributed systems or ML platform engineering
• Strong proficiency in Python and a systems language such as Go, Rust, or C++
• Hands-on experience with LLM or large model inference frameworks
• Deep understanding of GPU architecture and performance engineering