Machine Learning Engineer at Constellation Space
Constellation Space is hiring a Machine Learning Engineer in Seattle, WA, US. On-site. Pay: USD 120k-180k/yr.
About Constellation Space
Constellation Space Corp builds ConstellationOS, an ML-native operations platform for satellite fleets. The platform ingests ground telemetry through a single API and schema, forecasts signal, traffic, weather, jamming, and conjunction events, and enables operators to route data and isolate failing streams under operator policy with an audit trail. It is aimed at organizations that operate satellite fleets.
Machine Learning Engineer job description
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.
Apply now
Applications go straight to Constellation Space. We never sit between you and the employer.
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