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2027 Machine Learning Summer Internship

Advanced Space
Location
Westminster, CO
Posted
26 days ago
Department
Internships
Salary
$28–$37
What they actually want (must-haves)
  • 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
  • Ability to solve complex technical problems and conduct applied research
Nice to have
  • Experience with 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
What the job really is

As a Machine Learning Intern at Advanced Space, you will work on developing and applying machine learning models to address complex engineering challenges in aerospace applications. Your role includes designing, testing, and optimizing ML solutions, collaborating with engineers, and sharing your findings through documentation and presentations. This internship offers hands-on experience in a dynamic environment focused on space exploration.

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
Things to weigh
  • Internship is focused on machine learning applications in aerospace, which may be niche for some candidates
  • Competitive pay range provided, but no specific salary figures for full-time roles mentioned
  • The role emphasizes collaboration and mentorship, which may appeal to those seeking guidance in their early careers
Job score4.2/5
Benefits3/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency5/5

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