Staff ML Engineer - Identity & Fraud Systems (Remote)

Matcha; Northern (KY); Hybrid; USD 218,000 - 257,000; Full time

Job summary

Coinbase seeks a seasoned ML leader to own the full identity verification stack, including biometric and document authenticity components, and to drive real-time risk scoring at onboarding.

You will mentor engineers, collaborate with cross-functional teams, translate KYC/AML requirements into ML roadmaps, and push for responsible AI with human oversight while improving fraud detection and workflow efficiency.

Qualifications

• 8+ years deploying production ML systems at scale.
• Domain experience in identity verification, biometrics, or account integrity.
• Expert-level Python with production experience in TensorFlow or PyTorch.
• Translate KYC/AML requirements and fraud trends into ML roadmaps.

Responsibilities

• Own the full IDV ML stack, including document authenticity models and liveness detection.
• Build identity-graph systems to detect synthetic-identity rings and fraud at onboarding.
• Develop behavioral and device-intelligence models for real-time risk scoring.
• Drive vendor ML strategy by benchmarking models and designing routing across providers.
• Lead and mentor senior and mid-level engineers in the pod.

Skills

Python production

ML leadership

Cross-team collaboration

Identity verification

KYC/AML knowledge

Tools

TensorFlow

PyTorch

GNNs

NLP/LLMs

Job description

Coinbase seeks a seasoned ML leader to own the full identity verification stack, including biometric and document authenticity components, and to drive real-time risk scoring at onboarding.

You will mentor engineers, collaborate with cross-functional teams, translate KYC/AML requirements into ML roadmaps, and push for responsible AI with human oversight while improving fraud detection and workflow efficiency.