Principal Machine Learning Engineer at Oracle
Olympia, WA
$126,200–$264,100from the description
Jul 20, 2026
Olympia, WA
Jul 22, 2026
What this job asks for AI summary
A machine learning engineering role focused on taking ML models from prototype to production — covering deployment, scaling, monitoring infrastructure, and workflow automation. The work spans data quality assessment, integration of models into existing systems, and building internal tooling and platforms. Suited to someone comfortable writing production-grade code and collaborating with data scientists, software developers, and non-technical stakeholders alike.
Senior level · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 13 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
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). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
This is an ML Engineer / MLOps role focused on productionizing and deploying machine learning models, sitting at the boundary between Data Science (15-2051) and Software Development (15-1252). The primary day-to-day work — model productionization, MLOps pipelines, monitoring infrastructure, and tool development — leans slightly toward the data science/ML engineering occupation, but a strong software engineering argument exists.
The job title is not provided in the posting; Oracle internally labels this 'Career Level - IC4', which typically corresponds to a Senior individual contributor. The advertised seniority is set to Unspecified because no explicit level word appears in the title.
PyTorch, TensorFlow, and Keras are listed as examples ('e.g.') of third-party ML frameworks under a familiarity/awareness requirement rather than a hard gate, so they are marked preferred, with the three treated as interchangeable alternatives.
Location is not specified in the posting beyond 'US'; no specific metro or state could be identified. The compensation range ($126,200–$264,100/yr) is stated as US-wide and varies by location.
No minimum years of experience or degree requirement is explicitly stated in the posting.
Read the full posting
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