Graduate/PhD Research Intern, Machine Learning
Constellationspace
| Company | Constellationspace |
| Category | Data & Analytics |
| Location | Seattle |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Intern |
| Salary | USD 6k–7k |
| Posted | 24 Apr 2026 |
| Last verified | 5 Aug 2026 |
| Source | Employer ATS (ashby) |
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.