Graduate/PhD Research Intern, Machine Learning

About this role

Constellation is seeking a graduate-level ML research intern to develop forecasting and anomaly detection models for satellite network operations. You'll design experiments, build reproducible workflows, and translate research into prototypes that drive product decisions.

What you'll do

• Design and execute ML experiments for network operations forecasting and risk prediction
• Develop and evaluate time-series, probabilistic, and simulation-informed models
• Improve feature engineering, data quality, and evaluation methodologies
• Build reproducible research workflows for model training, validation, and comparison
• Communicate findings through technical documentation and recommendations
• Own projects end-to-end from scoping through implementation and testing

What they're looking for

• Machine learning (time-series, probabilistic models)
• Python
• C++ or Rust
• Experiment design and rigor
• Data pipeline development
• Scientific computing and ML tooling
• Technical writing and communication
• Reproducible research practices