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.
Skills Required
- 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.
What We Do
Constellation Space builds ConstellationOS, an AI-native operating system that forecasts satellite link degradation minutes ahead and autonomously reroutes traffic under policy to prevent data loss. The platform ingests telemetry, uses physics-informed ML to predict failures with high accuracy, and executes rapid, policy-bound reroutes to provide mission assurance and scalable orchestration for large satellite constellations.
