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Constellation Space

5 jobs near Columbus, OH

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$95 - $135/hr

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 ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

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 ...

Constellation Space

Flight Software Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role Constellation's Flight Software team writes the code that actually flies the hardware. We are looking for a Flight Software Engineer to design and implement the highly reliable, real-time ...

Constellation Space

Software Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role Constellation is looking for a versatile Software Engineer to build the backbone of our ground and simulation software. You will architect robust backend systems that allow our operators to ...

Machine Learning Engineer

Constellation Space

Seattle, WA • On-site

$95 - $135/hr

Other

Re-posted 14 days ago

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.
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