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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.
What will give you a competitive edge (preferred qualifications)
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