Job Location: Atlanta, GA
Job Detail:
United States, Georgia, Atlanta
Innovation & Operations Technology
14-Sep-2022
Ref #: 17322
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
Some benefits of working on Delta’s Innovation team include
- 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
- Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered for U.S.-based job, if not currently employed by Delta Air Lines, Inc.
What Will Give You a Competitive Edge (preferred Qualifications)
- Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, etc.)
- Experience designing and deploying end-to-end infrastructure in a cloud environment such as AWS, GCP, and/or Azure
- Ability to anticipate and build necessary components outside of model development- how will the model be consumed, how will we monitor model performance over time, and how can we change model and model-adjacent components to improve model performance
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