Graduate Intern, Innovation - AI Engineering (Spring 2027) at Delta Air Lines, Inc.
Atlanta, GA
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Aug 14, 2026
Atlanta, GA
Sep 25, 2026
What this job asks for AI summary
An internship at Delta Air Lines' Innovation & AI team, based in Atlanta, focused on designing and building ML and AI-powered products. Interns own projects end-to-end — from engaging business stakeholders to developing and deploying models across domains such as NLP, computer vision, and recommendation systems. The role suits graduate students (MS, MBA, or PhD) with hands-on ML modeling experience who are comfortable presenting technical work to diverse audiences.
Junior level · Atlanta-Sandy Springs-Alpharetta, GA · Internship
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 270 people in the Atlanta-Sandy Springs-Alpharetta, GA area plausibly meet what this posting asks for (data scientists). range 200–350
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $111,336 (middle half $92,500–$147,851).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 18, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting requires active enrollment in a post-graduate program (MS, MBA, or PhD) during the internship — this is a hard enrollment gate, not a completed-degree requirement, so the degree requirement is set to None.
The minimum qualifications list several ML techniques (deep reinforcement learning, gradient boosted trees) and domains (NLP, computer vision, personalization/recommendation, anomaly detection) as illustrative examples rather than firm individual gates; neural networks and general ML model development are the clearest hard requirements. The domain-specific techniques are marked preferred to avoid over-gating.
PyTorch is listed as an alternative to TensorFlow ('TensorFlow, PyTorch, or other machine learning platforms') — one ML framework is required, not both specifically.
The 'preferred qualifications' section in the posting is blank (only a bullet point with no content), so no preferred skills were extracted from it.
The alt SOC 15-1252 (Software Developers) is a reasonable runner-up given the emphasis on building and shipping AI-powered products, but the primary focus on ML modeling and data science techniques makes 15-2051 the better fit.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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