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Graduate/PhD Research Intern, Machine Learning

Constellation Space Seattle $6K–$7K per month • $3k relocation stipend.

The full posting

Published by Constellation Space. Original posting

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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