Graduate Intern, Innovation and AI Engineering (Spring 2025)

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
• 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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