Staff Machine Learning Engineer, Platform - Identity

Coinbase

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$218,025–$256,500 / yr
Posted
91 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $227k
This role $237k
$174k most similar roles pay here $289k

This role pays less than 51% of similar roles. Most pay $199,600–$255,000 — the shaded band above. At the midpoint, this role pays about $237k versus about $227k 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 $215,177–$253,150 across 50 roles with salary data.

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At a glance

TL;DR · Staff Machine Learning Engineer, Platform - Identity

As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you will own the end-to-end machine learning stack for identity verification systems. You will be responsible for building and maintaining models for document authenticity, face-match, liveness detection, presentation-attack detection, and deepfake detection. Your daily work involves developing identity-graph systems using GNNs to detect synthetic-identity rings, creating behavioral and device-intelligence models for real-time risk scoring, and managing vendor ML strategies through benchmarking and dynamic routing. You will utilize Python, TensorFlow, or PyTorch to solve complex problems in biometrics, computer vision, sequence models, and NLP/LLMs. The role focuses on the critical domain of identity verification, where you will translate KYC and AML requirements into technical roadmaps to protect account integrity against fraud and coordinated attacks during onboarding and high-risk actions.

What does a Machine Learning Engineer earn in Remote?

Median $229700 from 72 postings across 27 companies.

See salary data

What you'll do

  • Own the full IDV ML stack including document authenticity, face-match, liveness detection, and deepfake detection.
  • Build identity-graph systems using GNNs to detect synthetic-identity rings and coordinated fraud at onboarding.
  • Develop behavioral and device-intelligence models for real-time anomaly detection and bot-vs-human classification.
  • Drive vendor ML strategy by benchmarking external models and designing dynamic routing logic across providers.
  • Build an in-house evaluation layer to catch model regressions before they reach users.
  • Lead and mentor engineers while aligning cross-company ML system designs with Platform and Risk teams.
  • Translate KYC/AML requirements and fraud trends into technical ML roadmaps for stakeholders.

What we're looking for

  • 8+ years of experience deploying production ML systems at scale with proven technical leadership in cross-team architecture.
  • Domain experience in identity verification, biometrics, or account integrity.
  • Expertise in at least two areas: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.
  • Expert-level Python skills with production experience in TensorFlow or PyTorch for training, evaluation, and serving.
  • Experience translating KYC/AML requirements and fraud trends into ML roadmaps for cross-functional stakeholders.
  • Ability to use generative AI responsibly to improve workflow efficiency, cost, and quality.

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