Applied AI/ML Lead - Payments
JPMorgan Chase · Seattle, WA
$164,350–$260,000from the description
Jul 10, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A hands-on technical leadership role focused on building and operating document extraction and NLP systems within a large financial institution's payments division. The work spans the full lifecycle — from problem framing and data strategy through model development, production deployment, and ongoing monitoring. The role suits an experienced ML practitioner comfortable owning end-to-end solutions while also coordinating with product, engineering, risk, and compliance stakeholders.
Senior level · 5+ years · New York-Newark-Jersey City, NY-NJ-PA · Full-time
“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 590 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 310–760
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 $138,970 (middle half $103,548–$176,968). 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 (7)
The role is titled 'Vice President, Applied AI/ML Lead' — at JPMorganChase, VP is a mid-to-senior individual contributor title, not a people-management role; the JD describes hands-on technical ownership with no mention of direct reports, so this is classified as Senior IC rather than a management role.
The SOC is a close call between 15-2051 (Data Scientists, reflecting the ML/NLP modeling focus) and 15-1252 (Software Developers, reflecting the production pipeline and deployment emphasis). The primary day-to-day work leans toward applied ML research and model development, so 15-2051 is preferred.
Three locations are listed with identical salary bands: Seattle WA, Palo Alto CA, and New York NY. New York is used as the primary CBSA; the same $164,350–$260,000/year range applies to all three.
The required qualifications state '5+ years applied experience' tied to AI/ML concepts and separately '5+ years of experience building and delivering applied ML or NLP solutions' — the overall years minimum is set to 5 as the stated minimum.
The degree requirement states 'formal training or certification' rather than a specific degree, and no minimum degree is hard-gated; degree requirement is set to None.
OCR, transformer models, MLOps, model registries, CI/CD, and real-time/event-driven architecture all appear exclusively under the 'Preferred Qualifications' heading.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): real-time/event-driven architecture.
Read the full posting
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