Model Serving Engineer

Job Summary

To support a growing team, the full-time remote Model Serving Engineer will design, build, and operate high-performance inference platforms for serving large machine learning models in production, focusing on systems engineering aspects such as request routing, batching, and GPU utilization.

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 quality-of-service policies across model endpoints

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 LLM inference frameworks like vLLM or TensorRT-LLM