Machine Learning Engineer

The Role

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.

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.

Requirements

• 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.

Compensation Range: $120K - $180K