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Constellation Space

Graduate/PhD Research Intern, Machine Learning

Reposted 17 Days Ago
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In-Office
Seattle, WA, USA
Internship
In-Office
Seattle, WA, USA
Internship
Research-focused ML intern to design and run forecasting and anomaly/risk prediction experiments, develop time-series and probabilistic models, improve feature engineering and dataset quality, build reproducible research workflows, and communicate technical findings.
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The Role

Constellation is seeking an ambitious Graduate or PhD Research Intern to join our Data Science / AI team. You will research and develop cutting-edge machine learning models to solve complex aerospace challenges, from predictive maintenance to autonomous orbital navigation.

Responsibilities

  • Conduct independent research to design and train novel machine learning architectures.

  • Analyze massive datasets derived from flight telemetry and satellite sensors.

  • Prototyping and testing algorithms in simulated aerospace environments.

  • Publish internal papers and present findings to the core engineering team.

Requirements

  • Currently pursuing a Master's or Ph.D. in Computer Science, Aerospace Engineering, Mathematics, or a related field.

  • Strong theoretical understanding of deep learning, computer vision, or reinforcement learning.

  • Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, or JAX).

  • Ability to work on-site in Seattle for the duration of the internship.

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