AI Innovation Intern — Fast-Track ML Solutions

Delta Air Lines; Atlanta (GA); On-site; USD 25,000 - 34,000; Full time

Benefits offered by this job

Flight benefits

Delta HQ vicinity

Job summary

Delta Air Lines is seeking an Innovation & AI Engineering Intern to design and develop ML/AI products, going beyond a traditional engineering role. You will own projects from day one, engage with stakeholders, and collaborate with engineers, strategists and designers to transform customer experiences using AI.

You will work on state-of-the-art ML models, learn best practices in ML lifecycles, and present updates to leaders across multiple business units.

Qualifications

• Experience building ML models using Python, TensorFlow or PyTorch.
• Actively enrolled in an undergraduate program for the duration of the internship.
• Understanding of ML best practices: training/serving models, feature engineering, model selection.
• Knowledge of NLP, computer vision, personalization, anomaly detection in ML.
• Able to learn quickly, work outside comfort zone, and explain concepts to varied audiences.
• Privacy and data security awareness in handling personal data.
• Diversity of perspectives and collaborative mindset.
• Legal work eligibility in the United States.

Responsibilities

• Own ML/AI projects from day 1 and deliver end-to-end solutions.
• Engage with stakeholders to identify problem areas and translate into ML problems.
• Develop and modify state-of-the-art ML models for robust solutions.
• Collaborate with engineers, strategists and designers on customer experiences enabled by ML/AI.
• Present project updates to leaders across business units.
• Explore and brainstorm new applications of AI within Delta.

Skills

Python

TensorFlow

PyTorch

ML models

ML best practices

NLP

Computer Vision

Personalization

Anomaly Detection

Explain neural networks

Education

High school diploma

GED

Job description

Delta Air Lines is seeking an Innovation & AI Engineering Intern to design and develop ML/AI products, going beyond a traditional engineering role. You will own projects from day one, engage with stakeholders, and collaborate with engineers, strategists and designers to transform customer experiences using AI.

You will work on state-of-the-art ML models, learn best practices in ML lifecycles, and present updates to leaders across multiple business units.