Intern, Innovation and AI Engineering

## Qualifications - Incredibly passionate, empathetic, and truly talented team members across engineering, strategy, venture, and design functions - 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 ## Benefits - Benefits and Perks to Help You Keep Climbing - Experience travel and culture through Delta's unmatched flight benefits - 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 ## Responsibilities - 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 ## Full Description 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 engineeringrole. 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 Delta Air Lines, Inc.