Senior Applied Machine Learning Engineer
Hewlett Packard Enterprise · Fort Collins, CO
$144,000–$315,000from the description
Jul 14, 2026
Fort Collins, CO
Jul 20, 2026
What this job asks for AI summary
Senior level · 6+ years · National · Full-time
“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
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 (8)
The role is hybrid (2 days/week in an HPE office) — not fully remote. Multiple US states are listed (Colorado, California, Texas) with different salary bands; no single metro is specified, so CBSA is left blank.
Salary range spans $137,000–$315,000 annually depending on state; the min reflects Colorado's floor and the max reflects California's/Texas's ceiling. Variable incentives may also apply.
The degree requirement is tiered: PhD + 2 years, Master's + 4 years, or Bachelor's + 6 years are all accepted as equivalent. Because equivalent experience is explicitly accepted in lieu of a higher degree, no hard degree floor is set; the overall years minimum is set to 6 (the Bachelor's path, the lowest common denominator).
Python and Go are listed together as a single backend-language requirement ('Python, Go') in the Must Have section. They are emitted as a paired interchangeable skill since the JD does not require both — either satisfies the gate.
Open-source ML/AI tools (MLflow, Spark, LangChain, Kubeflow) are named in the responsibilities/integration section as illustrative examples rather than in a discrete required-skills list; however, 'Experience with open-source ML/AI tools and frameworks' is a hard gate in Must Have, so MLflow is used as the primary representative with the others as alternatives.
Kubernetes appears in the responsibilities section as the target production platform ('ensuring seamless operation on platforms like Kubernetes') and is treated as a required deployment environment given the production-deployment gate in Must Have.
RAG, LangChain, Kubeflow, and Spark are also listed individually under Nice To Have or as illustrative examples, so they are marked preferred.
SOC is Medium confidence: the role blends applied ML/AI science (15-2051) with substantial software engineering and production deployment work (15-1252). The emphasis on model development, AI agents, and ML frameworks tips it toward Data Scientists.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.