Staff ML Engineer - Identity Verification & Fraud Defense

Coinbase; Frankfort (KY); Hybrid; USD 218,000 - 257,000; Full time

Job summary

Coinbase is hiring a Staff Machine Learning Engineer for Identity Verification. You will own the end-to-end ML stack, from identity and document authentication to real-time risk scoring, ensuring secure onboarding for millions of users.

You'll lead cross-team ML design, mentor engineers, and collaborate with Risk and Platform teams to advance detection models and production enforcement, while applying responsible AI practices.

Qualifications

• 8 years deploying production ML systems at scale with cross-team leadership.
• Domain experience in identity verification, biometrics, or account integrity.
• Expert-level Python with production use of TensorFlow or PyTorch.
• Experience translating KYC/AML requirements into ML roadmaps and communicating trade-offs.
• Responsible use of generative AI with human oversight and measurable impacts.

Responsibilities

• Own the full IDV ML stack from feature pipeline to production enforcement.
• Build identity-graph systems to detect synthetic-identity rings at onboarding.
• Develop behavioral and device-intelligence models for real-time risk scoring.
• Drive vendor ML strategy and dynamic routing across providers/geographies.
• Lead and mentor engineers and collaborate with ML Platform and Risk teams.

Skills

Production ML

Identity verification

Python

TensorFlow

PyTorch

KYC/AML

GNNs

NLP/LLMs

Tools

TensorFlow

PyTorch

Job description

Coinbase is hiring a Staff Machine Learning Engineer for Identity Verification. You will own the end-to-end ML stack, from identity and document authentication to real-time risk scoring, ensuring secure onboarding for millions of users.

You'll lead cross-team ML design, mentor engineers, and collaborate with Risk and Platform teams to advance detection models and production enforcement, while applying responsible AI practices.