Remote-First Staff ML Engineer, Identity Verification

Coinbase, Inc.

Honolulu (HI)

Hybrid

USD 218,000 - 257,000

Full time

14 days+

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Job summary

Coinbase, Inc. is seeking a Staff Machine Learning Engineer on the Identity Verification team within the Platform group. You'll own the ML systems that determine whether a person, document, and capture session are legitimate.

Every signup, account recovery, and high-risk action at Coinbase depends on these models. You will lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts.

Qualifications

  • 8+ years deploying production ML systems at scale with cross-team ownership.
  • Domain experience in identity verification or account integrity with biometrics or related areas.
  • Expert-level Python with TensorFlow or PyTorch, incl. training and serving.
  • Experience translating fraud trends into ML roadmaps and communicating trade-offs.

Responsibilities

  • Own the full IDV ML stack from feature pipeline to production enforcement.
  • Build identity-graph systems with GNNs to detect synthetic identities.
  • Develop behavioral and device-intelligence models for real-time risk scoring.
  • Benchmark external models and design routing across providers/geographies.
  • Lead and mentor engineers, coordinating with ML Platform and Risk teams.

Skills

Production ML systems
ML leadership
Python
KYC/AML domain awareness
Biometrics / identity verification
GNNs / graph models
NLP/LLMs

Tools

TensorFlow
PyTorch

Job description

Coinbase, Inc. is seeking a Staff Machine Learning Engineer on the Identity Verification team within the Platform group. You'll own the ML systems that determine whether a person, document, and capture session are legitimate.

Every signup, account recovery, and high-risk action at Coinbase depends on these models. You will lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts.

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