Constellation Space
Machine Learning Engineer
About this role
We are seeking a Machine Learning Engineer in Seattle to connect AI research with operational flight systems. The role involves optimizing and deploying machine learning models for Constellation's orbital and ground operations.
What you'll do
- Deploy and maintain ML models in production
- Build MLOps pipelines for continuous model training
- Optimize algorithms for low-latency inference
- Collaborate with data scientists and software engineers
What they're looking for
- Python
- C++
- MLOps tools
- Containerization (Docker)
- Cloud platforms
- Software engineering
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Constellation Space
Constellation Space builds ConstellationOS, an autonomous operating system for satellite networks that handles high-volume telemetry and enables real-time routing and operational decisions. The company is hiring Machine Learning Engineers, Flight Software Engineers, and ML research interns to develop core flight systems, deploy ML models for orbital operations, and create forecasting and anomaly detection capabilities.
View all jobs at Constellation SpaceLikely interview questions
- Describe your experience deploying ML models to production. What challenges did you face with model monitoring and maintenance?
- How have you optimized machine learning models for low-latency inference or resource-constrained environments?