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Constellation Space

Machine Learning Engineer

Reposted 14 Days Ago
In-Office
Seattle, WA, USA
120K-180K Annually
Mid level
In-Office
Seattle, WA, USA
120K-180K Annually
Mid level
Build, deploy, monitor, and maintain ML models for production flight systems. Create MLOps pipelines, optimize algorithms for low-latency edge inference, and collaborate with data scientists and flight software engineers to integrate AI into spacecraft and ground operations.
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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.

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