Graduate/PhD Research Intern, Machine Learning at Constellation Space
Constellation Space is hiring a Graduate/PhD Research Intern, Machine Learning in Seattle, WA, US. On-site. Pay: USD 72k-84k/yr.
About Constellation Space
Constellation Space Corp builds ConstellationOS, an ML-native operations platform for satellite fleets. The platform ingests ground telemetry through a single API and schema, forecasts signal, traffic, weather, jamming, and conjunction events, and enables operators to route data and isolate failing streams under operator policy with an audit trail. It is aimed at organizations that operate satellite fleets.
Graduate/PhD Research Intern, Machine Learning 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.
Apply now
Applications go straight to Constellation Space. We never sit between you and the employer.
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