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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