**United States, Georgia, Atlanta
Information Technology
15-Jun-2026
Ref #: 32780**
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 a Post Graduate accredited college, university, or institution during the duration of the program. (M.S. MBA, or PH. D)
- 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.