Intern, Innovation - AI Engineering (Fall 2026)

Intern, Innovation - AI Engineering (Fall 2026)

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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)

• < Go back

Apply now

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2026 Delta Air Lines, Inc. | Tracking Preferences | Privacy

Delta Air Lines is an equal opportunity employer including disability/veteran.

Delta Air Lines, Inc. is an Equal Employment Opportunity / Affirmative Action employer and provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements. Supporting medical or religious documentation will be required where applicable. To request a reasonable accommodation, please click here

Delta is proud to offer comprehensive benefits packages to meet the needs and wellbeing of our employees and their families. To learn more about our benefits, pay philosophy and pay rates, please click here