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.