Graduate/PhD Research Intern, Machine Learning at Constellation Space (Seattle, WA)
Constellation Space· Seattle, WA·
Role details
Work type
Onsite
Employment
Full-Time
Job 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.
Why work at Constellation Space
- Culture highlights: Early-stage startup with a small, highly experienced founding team tackling infrastructure problems that directly impact space operations. Emphasis on autonomy, ownership, and solving hard technical challenges.
- Remote/hybrid/office policy: Headquarters in Seattle, WA; likely hybrid or in-office given the nature of space systems work (not explicitly stated).
- Notable perks or engineering culture: Backed by top-tier VCs (YC, NVIDIA, OpenAI); opportunity to work on mission-critical AI/ML and network orchestration for the space industry; deep technical challenges in ML, distributed systems, and real-time control.