Graduate/PhD Research Intern, Machine Learning
Constellationspace
| Company | Constellationspace |
| Category | Data & Analytics |
| Location | Seattle |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Intern |
| Salary | Not stated by the employer |
| Posted | 24 Apr 2026 |
| Last verified | 11 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
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.