Intern, Innovation and AI Engineering (Summer 2025)

United States, Georgia, Atlanta

Innovation & Operations Technology

10-Jan-2025

Ref #: 26503

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.

Responsibilities

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)

• Undergraduate student with 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
• Undergraduate student must be enrolled in school during the duration of the program
• Understanding of machine learning best practices such as training/serving models, feature engineering, and feature/model selection
• Knowledge 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
• 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)

N/A

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