Machine Learning Engineer
Constellationspace
| Company | Constellationspace |
| Category | Engineering |
| Location | Seattle |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 120k–180k |
| Posted | 30 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
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.