Machine Learning Engineer
UPS · ATLANTA, GA
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Jul 28, 2026
ATLANTA, GA
Jul 29, 2026
What this job asks for AI summary
This role at UPS involves designing, building, and deploying machine learning models and AI-powered software components to address business problems at production scale. The engineer will work across the full ML lifecycle — from transforming data science prototypes into scalable systems to integrating internal and external data sources — collaborating with business, product, and data science teams. It suits a candidate with hands-on ML engineering experience and a strong quantitative background.
Mid level · Atlanta-Sandy Springs-Alpharetta, GA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
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 480 people in the Atlanta-Sandy Springs-Alpharetta, GA area plausibly meet what this posting asks for (data scientists). range 140–720
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 Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role sits at the boundary between Data Scientist (15-2051) and Software Developer (15-1252): it emphasizes productionizing ML models, building scalable cloud components, and software engineering lifecycle practices as much as modeling itself.
No specific cloud platform (AWS, Azure, GCP) is named — the posting refers generically to 'Cloud-AI technologies' and 'cloud technology infrastructures'.
No overall years-of-experience figure is stated; seniority is assessed as Mid based on the scope described and the absence of explicit senior/lead framing.
The degree requirement lists a Bachelor's in a quantitative field OR equivalent job experience; because the posting accepts equivalent experience as a substitute, the degree requirement is set to None per extraction rules — however, the posting does explicitly name a Bachelor's as the baseline credential.
No compensation range is provided.
The posting states the position is on-site in Atlanta, GA with no relocation assistance and no visa sponsorship.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): model optimization, batch/streaming prediction serving.
Read the full posting
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