Principal Machine Learning Engineer at Micron Technology
Boise, ID
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Aug 9, 2026
Boise, ID
Sep 22, 2026
What this job asks for AI summary
This role on Micron's Smart Manufacturing and AI team involves designing, building, and deploying end-to-end machine learning systems that extract value from semiconductor manufacturing data. The engineer will own scalable ML pipelines, data architectures, and MLOps infrastructure across cloud platforms, while also leading Generative AI initiatives and mentoring junior team members. It suits an experienced ML practitioner with strong cloud and data engineering depth.
Senior level · 8+ years · Master's required · Full-time
Advertised as Principal, but the requirements read as Senior.
“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
Rare in this occupation — lead with these, and say what you built with them.
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 11, 2026. It is a model, not a headcount.
Why we read it this way (8)
No work location or CBSA is specified in the posting; Micron's primary US headquarters is in Boise, ID, but this role's location cannot be confirmed from the text alone.
The minimum qualification states 'Master's or PhD' — a Master's is the lower bound and is treated as the hard degree requirement. A PhD with 5+ years is offered as an alternative path; the 8+ years figure applies to the Master's track and is used as the overall years minimum.
The role is titled 'Principal' but the actual scope — leading ML project delivery and mentoring a team within a single product domain — is consistent with a Senior individual contributor rather than a true org-wide Principal. Seniority is assessed as Senior accordingly.
SOC classification is Medium confidence: the role blends ML modeling (15-2051) with substantial software/pipeline engineering (15-1252); the primary day-to-day emphasis on model design, training, and deployment tips it toward Data Scientists.
Kubeflow, Airflow, and Dataflow appear in the required qualifications as ETL/ELT pipeline tools and are marked required; they also reappear under Preferred in the MLOps/CE platform list — the required-section mention governs.
GCP, AWS, and Azure all appear together in the required qualifications section; all three are marked required as a group rather than as interchangeable alternatives, since the posting lists them jointly as a combined expectation.
LangChain/LangGraph, CrewAI, DsPy, and Semantic Kernel are listed under Preferred as GenAI agent frameworks; LangChain is used as the primary name with the others as alternatives since they serve the same agentic-orchestration function.
ADK (Agent Development Kit) appears under Preferred alongside the GenAI agent frameworks; it is captured separately as its own tool given it is a distinct Google product.
Read the full posting
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