2027 Machine Learning Summer Internship

What you'd do

• You are currently pursuing a degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• You have experience programming in Python and working with data processing libraries such as Pandas, NumPy, or Scikit-learn.
• You have experience with machine learning frameworks such as TensorFlow or PyTorch.
• You understand foundational machine learning concepts, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction.
• You are familiar with software development best practices, including Git version control.
• You enjoy solving complex technical problems and conducting applied research.
• You communicate technical concepts clearly and collaborate effectively with teammates.
• Developing and evaluating machine learning solutions for real aerospace challenges.
• Applying ML techniques to meaningful mission-focused projects.
• Collaborating effectively with engineers and technical staff.

What you get

• Gain hands-on experience applying machine learning to real space missions.
• Work alongside engineers and researchers solving complex aerospace challenges.
• Contribute to innovative projects supporting missions to the Moon and beyond.
• Receive mentorship and guidance from experienced technical staff.
• Be part of a growing company where your contributions directly support mission success.
• Competitive internship compensation: $28–$37/hour
• Housing stipend
• Mentorship and guidance from technical staff
• Opportunities to contribute to research projects directly tied to active space missions
• Collaborative work environment at our Westminster, Colorado headquarters

About Advanced Space · Internships

At Advanced Space, we're enabling humanity's return to the Moon and building the technologies that will take us to Mars and beyond. We're looking for a 2027 Machine Learning Summer Intern to join our team and help push the state of the art in aerospace applications. As a Machine Learning Intern, you'll work alongside experienced technical staff who will provide mentorship and guidance throughout your internship.