Constellationspace
Machine Learning Engineer
Seattle
Sponsorship not specifiedDetected 21 days ago
PythonAlgorithmsCloud PlatformsDockerMachine LearningMLOpsResearch
About the role
- We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems.
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.
- Experience with cloud platforms, containerization (Docker), and MLOps tools.
Company info
- You will optimize, deploy, and scale machine learning models that directly impact Constellation's orbital systems and ground operations.
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This listing is sourced directly from Constellationspace's careers page and normalized into a canonical job model.