Staff Machine Learning Engineer(Platform - Identity)

Coinbase

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$218,025–$256,500 / yr
Posted
4 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k
This role $237k
$170k most similar roles pay here $283k

This role pays more than 57% of similar roles. Most pay $198,000–$259,053 — the shaded band above. At the midpoint, this role pays about $237k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 58 open roles on FindRole.

Listed pay typically runs $201,365–$236,900 across 52 roles with salary data.

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At a glance

TL;DR · Staff Machine Learning Engineer(Platform - Identity)

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As a Staff Machine Learning Engineer on the Identity Verification team within Coinbase’s Platform group, you will lead the technical strategy for machine learning systems that ensure the legitimacy of user identities during sign-ups and high-risk actions. Your responsibilities include owning the full stack of identity verification models, from document authenticity to face-match and liveness detection, using technologies like GNNs for clustering accounts with shared signals to detect fraud rings. You will also develop real-time anomaly detection systems and collaborate on vendor ML strategy by benchmarking external models against internal datasets. Additionally, you will mentor engineers and partner with cross-functional teams to align ML system design across the company. This role requires extensive experience in deploying production ML systems at scale, expertise in Python and TensorFlow or PyTorch, and deep knowledge in identity verification, biometrics, and applied machine learning domains such as computer vision and GNNs.

Skills

Python TensorFlow PyTorch GNNs Computer_Vision Biometrics NLP LLMs Kubernetes AWS CI/CD Prometheus Grafana PostgreSQL MLOps

What you'll do

  • Own the full IDV ML stack from feature pipeline through production enforcement.
  • Build identity-graph systems using GNNs to detect synthetic-identity rings and fraud.
  • Develop real-time behavioral models for capture-session anomaly detection and risk scoring.
  • Drive vendor ML strategy by benchmarking external models against Coinbase’s evaluation set.
  • Lead technical strategy for IDV ML end-to-end, from architecture through production enforcement.

What we're looking for

  • 8+ years of experience deploying production ML systems at scale.
  • Expertise in identity verification, biometrics, or account integrity with applied ML.
  • Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch.
  • Experience building and evaluating machine learning models for fraud detection.
  • Track record of translating regulatory requirements into ML roadmaps.

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