Machine Learning Engineer

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