Graduate/PhD Research Intern, Machine Learning
Constellation Space · On-site
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Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Seattle
What the role asks for
What you'd do
- 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.
What they're asking for
- Currently pursuing a Master's or Ph.D. in Computer Science, Aerospace Engineering, Mathematics, or a related field.Education
- Strong theoretical understanding of deep learning, computer vision, or reinforcement learning.Skill
- Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, or JAX).Skill
- Ability to work on-site in Seattle for the duration of the internship.Skill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
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.