Applied AI ML Director at JPMorgan Chase
Seattle, WA
$223,000–$325,000from the description
Aug 15, 2026
Seattle, WA
Sep 25, 2026
What this job asks for AI summary
A hands-on AI/ML leadership role within JPMorganChase's Commercial & Investment Bank, focused on building and owning end-to-end machine learning solutions for payments trust and safety problems — including fraud prevention, authorization optimization, and abuse detection. The position spans model strategy, data pipelines, production deployment, and compliance, while also requiring direct engagement with senior business and risk stakeholders.
Senior level · 8+ years · Seattle, WA · 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
Roughly 140 people in the Seattle, WA area plausibly meet what this posting asks for (data scientists). range 75–190
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 $168,363 (middle half $111,131–$214,996). 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 Aug 18, 2026. It is a model, not a headcount.
Why we read it this way (5)
Two locations are listed with identical salary bands: Seattle, WA and Palo Alto, CA ($223,000–$325,000/year). Only Seattle is captured in the metro field; Palo Alto (San Jose-Sunnyvale-Santa Clara, CA CBSA 41940) is an equally valid work location.
The degree requirement is a genuine gate but with two paths: PhD + 5 years OR MS + 8 years. The minimum degree is set to Masters (the lower of the two) and the overall years minimum reflects the corresponding 8-year floor for that path.
Graph Networks, Neural Networks, NLP, and Vision are listed under Job Responsibilities as areas of 'demonstrated expertise,' which functions as a hard gate in context; they are marked required accordingly. Vision was not emitted as a standalone skill because the posting names no specific vision framework or tool.
The 'Applied AI ML Director' title carries 'Director' framing, which could suggest a people-management role (11-3021), but the posting is explicitly hands-on ('remain hands-on,' code and model reviews, direct model building) with no mention of direct reports or headcount ownership, so 15-2051 is the primary classification with 15-1252 as the runner-up.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Real-time/event-driven architectures.
Read the full posting
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