Machine Learning Engineer
Constellation Space · On-site
MeritLog read this listing from Constellation Space's Ashby job board and last checked it on September 25, 2026.
Source: the employer's Ashby job board. Open the job post for the latest details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Seattle
Other jobs from this company
How this role compares at Constellation Space
Constellation Space has 4 live roles in MeritLog’s job list across 3 job types, and 2 of them are in data & analytics. 0 of those jobs list a pay range. That is 0%.
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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.