Intern, Innovation - AI Engineering (Fall 2026)

United States, Georgia, Atlanta

Information Technology

15-Jun-2026

Ref #: 32774

How you'll 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
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.