- Constellationspace
- Seattle, WA
- Full-Time
- 90 days ago
- $120,000 – $180,000
Machine Learning Engineer.
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Machine Learning Engineer: our view in 3 lines...
- The Role:This role is for a machine learning engineer working on production AI systems for orbital systems and ground operations.
- The Person:The person will deploy, monitor, and maintain ML models, build MLOps pipelines for continuous training and integration, and optimise algorithms for low-latency inference on edge devices.
- Requirements:The ideal candidate has experience deploying machine learning models into production, strong software engineering skills in Python and C++, and experience with cloud platforms, Docker, and MLOps tools.
About the role
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
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Deploy, monitor, and maintain ML models in production environments.
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Build robust MLOps pipelines for continuous training and integration of models using telemetry data.
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Optimize algorithms for low-latency inference on edge devices (spacecraft hardware).
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Collaborate with data scientists and flight software engineers to integrate AI capabilities into core flight systems.
Requirements
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B.S. or M.S. in Computer Science, Engineering, or equivalent experience.
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Proven experience deploying machine learning models into production.
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Strong software engineering skills in Python and C++.
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Experience with cloud platforms, containerization (Docker), and MLOps tools.
