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. 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.