Model Serving Engineer

Job Summary

Seeking a full-time Model Serving Engineer to design, build, and operate high-performance inference platforms for large machine learning models in a fully remote environment, focusing on systems engineering, request routing, and performance optimization.

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 and manage autoscaling and capacity systems while ensuring high availability and reliability of AI services

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 like vLLM or TensorRT-LLM