AI/ML Engineering Intern

Universal AvionicsTucson, AZ
Onsite

About The Position

At Universal Avionics, we've spent decades building the avionics systems trusted by pilots and operators around the world. Our AI Labs team is pushing the boundaries of what's possible in aerospace technology, and we're looking for an AI/ML Engineering Intern who's ready to build real things -- not just observe. This is not a shadow-and-sit-in role. You'll be an active contributor to the design, development, and testing of scalable AI and machine learning solutions, working alongside engineers who care deeply about getting it right in a safety-critical environment.

Requirements

  • Currently pursuing or holding a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
  • Exposure to or working experience in AI, machine learning, or software development
  • Proficiency in Python
  • Familiarity with machine learning frameworks such as TensorFlow, Spark, or scikit-learn
  • Experience with big data tools and cloud computing platforms (AWS, Azure, or GCP)
  • Strong analytical and problem-solving skills

Nice To Haves

  • You want to build AI systems that actually ship, not just run in notebooks
  • You enjoy translating data into models and models into measurable outcomes
  • You're comfortable working through ambiguity and iterating fast
  • You're curious about how AI fits into regulated, high-stakes industries
  • You thrive in a collaborative, cross-functional engineering environment

Responsibilities

  • Design and develop scalable AI solutions using machine learning models and tools
  • Build and optimize data pipelines, prototypes, and training datasets using cloud platforms (AWS, Azure, or GCP)
  • Conduct research and testing to develop machine learning algorithms and predictive models
  • Execute performance testing to evaluate AI systems handling large datasets and complex algorithms
  • Ensure the reliability and performance of AI systems through active development and iteration
  • Collaborate with cross-functional teams to support project goals and solution implementation

Benefits

  • 9/80 schedule - every other Friday off
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