2027 Machine Learning Summer Internship

Advanced Space • Westminster, CO

7d • $28 - $37 • Onsite

About The Position

We’re going to the Moon. Think you’ve got what it takes? About the Role 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. You'll gain hands-on experience designing, developing, testing, and applying machine learning models to solve complex engineering challenges supporting the future of space exploration. This internship is ideal for students passionate about artificial intelligence, machine learning, aerospace applications, and applied research. You'll have the opportunity to work on meaningful projects while collaborating with engineers and researchers developing innovative solutions for real space missions. About Advanced Space Advanced Space exists to enable the sustainable exploration, development, and settlement of space through innovative software, mission services, and technology solutions. As the owner and operator of NASA's CAPSTONE™ mission and the Prime Contractor for AFRL's Oracle mission, we're helping shape the future of cislunar exploration while supporting commercial, civil, and national security customers. Our team combines deep technical expertise with an entrepreneurial mindset. We move quickly, collaborate across disciplines, and empower every engineer to make meaningful contributions. If you're passionate about solving challenging problems and seeing your work fly in space, you'll fit right in.

Requirements

• Currently pursuing a degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Experience programming in Python and working with data processing libraries such as Pandas, NumPy, or Scikit-learn.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Understanding of foundational machine learning concepts, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction.
• Familiarity with software development best practices, including Git version control.
• Enjoy solving complex technical problems and conducting applied research.
• Ability to communicate technical concepts clearly and collaborate effectively with teammates.

Nice To Haves

• CUDA C/C++ or GPU computing
• High-performance or scientific computing
• Natural language processing
• Computer vision
• Aerospace engineering concepts such as nonlinear estimation, optimization, or control theory
• Machine learning applied to engineering or scientific problems

Responsibilities

• Develop machine learning solutions for aerospace applications.
• Research, implement, and evaluate state-of-the-art machine learning algorithms and techniques to solve challenging engineering problems.
• Design, develop, and improve machine learning models and systems supporting applications such as: Spacecraft autonomy, Anomaly detection, Natural language processing, Uncertainty quantification, Multimodal signal detection.
• Perform data preprocessing, feature engineering, model evaluation, and optimization to improve the performance, scalability, and reliability of ML solutions.
• Work alongside aerospace and software engineers to integrate machine learning solutions into mission-focused applications.
• Document technical work and present project results through reports, presentations, and discussions with the technical team.

Benefits

• 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

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed