Model Serving Engineer

Job Summary

To support the development of high-performance AI solutions, the full-time Model Serving Engineer will design and operate model serving platforms remotely, focusing on optimizing inference performance and ensuring system reliability for large machine learning models.

Key Responsibilities

• Design and operate model serving platforms for diverse workloads, including LLMs and recommendation systems
• Optimize inference performance through techniques like continuous batching and request multiplexing
• Implement multi-tenant routing 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++
• Deep experience operating high-throughput, low-latency services in production
• Hands-on experience with large model inference frameworks such as vLLM or TensorRT-LLM