How youll help us Keep Climbing (overview & key responsibilities) At Delta Ai

Graduate Intern, Innovation and AI Engineering (Spring 2025)

Delta Airlines • 
Atlanta, Georgia, United States
Position Type: Internship
Job Description:
How youll help us Keep Climbing (overview & key responsibilities)

At Delta Air Lines, we are continually looking to build a high performing, self-motivated team of technologists who embrace new technologies to enhance the customer and employee experience.

We are looking for an Innovation & AI Engineering Intern to design and develop machine learning and AI-based products that incorporate cutting-edge technology. Just a heads up, this isn’t a typical engineering role.

As an Innovation & AI Engineering Intern at Delta, you will own projects from day 1. You will be responsible for:

  • 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
  • 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
  • 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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