Redmond, WA

Salary
—
Posted
Aug 18, 2026
Location
Redmond, WA
Last confirmed open
Sep 25, 2026

What this job asks for AI summary

An internship role applying AI and machine learning techniques to engineering problems, working alongside stakeholders to define feature requirements and deliver software in a team setting. Candidates must be actively enrolled in a bachelor's or master's program in Computer Science or a related field with at least one semester remaining after the internship. The role suits students with hands-on AI/ML project experience and familiarity with major ML frameworks.

Junior level · Internship

Must have (2)
object-oriented programming · 1+ yrsmachine learning
Nice to have (1)
TensorFlow, PyTorch or scikit-learn

“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

What won't set you apart
machine learning80%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $122,874 (middle half $87,544–$162,374).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.

Why we read it this way (5)

The posting requires enrollment in a bachelor's or master's program but explicitly accepts either level and allows equivalent experience pathways, so the degree requirement is set to None (no hard minimum degree conferred).

TensorFlow (with PyTorch and scikit-learn as alternatives) appears under a 'Familiarity with' framing, making it a preferred rather than required skill.

The role blends software engineering and AI/ML work; SOC 15-2051 (Data Scientists) is chosen over 15-1252 (Software Developers) given the explicit emphasis on ML models, large datasets, and AI frameworks, but confidence is Medium due to the general engineering framing.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data structures and algorithms.

Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.

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