Staff Machine Learning Engineer(Platform - Identity) at Coinbase
Frankfort, KY
$218,025–$256,500from the description
Aug 6, 2026
Frankfort, KY
Sep 25, 2026
What this job asks for AI summary
This Staff ML Engineer role on Coinbase's Identity Verification team owns the end-to-end ML systems that assess whether users, documents, and capture sessions are genuine — covering document authenticity, face matching, liveness and deepfake detection, and fraud-ring identification via graph neural networks. The role also sets cross-team ML architecture strategy, benchmarks external vendors, and mentors senior and mid-level engineers. It suits a seasoned applied ML practitioner with a background in biometrics, computer vision, or account integrity.
Staff level · 8+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 11 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
Roughly 940 people nationally plausibly meet what this posting asks for (data scientists). range 400–1,400
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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). 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 7, 2026. It is a model, not a headcount.
Why we read it this way (5)
The role sits at the boundary between Data Scientists (15-2051) and Software Developers (15-1252): it involves heavy applied ML research and modeling (biometrics, GNNs, deepfake detection) but also significant production engineering — model serving infrastructure, real-time scoring systems, and feature pipelines. 15-2051 was chosen because the primary differentiating work is ML modeling and evaluation, but 15-1252 is a genuine runner-up.
The domain requirement is stated as 'at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.' Computer vision and GNNs are marked required as the most central to the IDV use case; sequence models, NLP, and LLMs are marked preferred since the posting only requires any two from the list and these are the less IDV-specific options.
The role is remote-first; Coinbase notes quarterly in-person 'surge' sessions but describes itself as remote-first. Marked remote=true accordingly.
Compensation is base salary only; the posting notes total compensation also includes equity and bonus eligibility, which are not quantified.
No specific degree is required by the posting.
Read the full posting
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