Constellation Space

5 jobs near Columbus, OH

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 ...

New

DevOps / Platform Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role As a DevOps / Platform Engineer at Constellation, you will build and maintain the foundational infrastructure that empowers our engineering teams. You will ensure our ground control systems ...

New

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 ...

New

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

$120K - $180K/yr

Full-time

Posted 2 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.

Compensation Range: $120K - $180K