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Intern, Innovation - AI Engineering (Spring 2027)

Delta Airlines
Atlanta, Georgia, United States Posted Aug 14, 2026
On-site

About this role

Intern, Innovation - AI Engineering (Spring 2027)

United States, Georgia, Atlanta

Information Technology

14-Aug-2026

Ref #: 33707

How you'll help us Keep Climbing (overview & key responsibilities)

  • Engaging with business stakeholders and customers to identify problem areas
  • Developing and modifying state-of-the-art ML models to build robust and holistic solutions
  • Collaborating with other engineers, strategists, and designers to think of customer experiences that can be transformed by machine learning and AI
  • Presenting project updates to leaders across multiple business units
  • Leveraging advancements in technology and brainstorming ways to incorporate them into different areas of Delta

Benefits and Perks to Help You Keep Climbing

  • Experience travel and culture through Delta’s unmatched flight benefits
  • Incredibly passionate, empathetic, and truly talented team members across engineering, strategy, venture, and design functions
  • Freedom of working on a small team while having the impact of a team that drives innovation forward at a huge company
  • Excitement of working on customer-facing projects that can ship within weeks
  • Offices located in Midtown in Atlanta, adjacent to Georgia Tech campus, and near Delta HQs

What you need to succeed (minimum qualifications)

  • Experience developing machine learning models (e.g., neural networks, deep reinforcement learning, gradient boosted trees, etc.) using Python, TensorFlow, PyTorch, or other machine learning platforms
  • Must be actively enrolled in an undergraduate accredited college, university, or institution during the duration of the program.
  • Understanding of machine learning best practices such as training/serving models, feature engineering, and feature/model selection
  • Knowledgeable about different machine learning domains like natural language processing, computer vision, personalization and recommendation, and anomaly detection
  • Flexibility to learn and work on things outside of your comfort zone
  • You’re self-driven, take pride in your work, and find satisfaction in building interesting things
  • You can adapt and explain a neural network to your lead engineer and to a 5-year-old
  • You embrace different perspectives and styles of thinking
  • Demonstrates that privacy is a priority when handling personal data
  • Embraces a diverse set of people, thinking and styles
  • Consistently makes safety and security, of self and others, the priority
  • Consistently prioritizes safety and security of self, others, and personal data.
  • Embraces diverse people, thinking, and styles.
  • Possesses a high school diploma, GED, or high school equivalency.
  • Is at least 18 years of age and has authorization to work in the United States.

What will give you a competitive edge (preferred qualifications)

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