Machine Learning Engineer

📋 Job Overview

We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that directly impact Constellation’s orbital systems and ground operations.

🏢 About Constellation Space

Constellation Space is a company focused on developing advanced flight systems and ground operations, leveraging AI and machine learning to enhance orbital systems.

🎯 The Role

You will be responsible for deploying, monitoring, and maintaining ML models in production environments, building robust MLOps pipelines, and optimizing algorithms for low-latency inference on edge devices.

✅ Key Responsibilities

• Deploy, monitor, and maintain ML models in production environments.
• Build robust MLOps pipelines for continuous training and integration of models using telemetry data.
• Optimize algorithms for low-latency inference on edge devices (spacecraft hardware).
• Collaborate with data scientists and flight software engineers to integrate AI capabilities into core flight systems.

📌 Required Qualifications

• B.S. or M.S. in Computer Science, Engineering, or equivalent experience.
• Proven experience deploying machine learning models into production.
• Strong software engineering skills in Python and C++.
• Experience with cloud platforms, containerization (Docker), and MLOps tools.