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Open roles

AI / ML · Data Science / AI

Graduate/PhD Research Intern, Machine Learning

Constellation Space

FresherOn-site · SeattleFullTime$6K – $7K per month • $3k relocation stipend.Listed 5mo ago
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Backed by

Y Combinator

HQ

🇺🇸 Seattle

Open roles

4

Experience Fresher-friendly - open to freshers / early-career candidates

About the role

structured by ORI

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.

What you will 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 are looking for

  • 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.
machine learningdeep learningcomputer visionreinforcement learningPythonPyTorchTensorFlowJAX
Full posting text

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.

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Constellation Space

B2B

AI operating system for mega-scale satellite networks.

Backed by Y Combinator

Company pageWebsite

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