How to Apply for ML Systems & Performance Engineer in United States 2026: Eligibility, Last Date & Preparation Guide

Join the Engram team as an ML Systems & Performance Engineer to tackle complex challenges in optimizing our machine learning infrastructure. This role focuses heavily on performance tuning, ensuring that our models run efficiently at scale across distributed systems. You will be responsible for enhancing the entire MLOps lifecycle, from data ingestion through model serving. Key tasks include implementing scalable performance testing frameworks, refactoring resource-intensive components written in Scala, and optimizing hardware utilization within cloud environments. Candidates should possess deep knowledge of both ML principles and high-performance computing concepts. If you are passionate about making complex AI systems fast, reliable, and robust, this role offers the chance to drive significant architectural improvements across Engram’s product suite. This guide explains exactly how to apply for this engram post in United States, the important dates, the test pattern, and a preparation strategy to score well.