Staff ML Engineer - Identity Verification & Fraud Detection

Fdetimes; United States; Hybrid; USD 218,000 - 257,000; Full time

Benefits offered by this job

Equity

Bonus eligibility

Health, dental, vision

Job summary

Coinbase is hiring a Staff Machine Learning Engineer for the Identity Verification team. You will own the ML systems that determine legitimacy of person, document, and capture session during signups and high-risk actions, guiding end-to-end architecture and production enforcement to safeguard millions of accounts.

You will mentor engineers, collaborate with ML Platform and Risk ML teams, and drive cross-company ML system design while adhering to responsible AI practices.

Qualifications

• 8+ years deploying production ML systems at scale.
• Domain experience in identity verification, biometrics, or account integrity with deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.
• Expert-level Python with production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure.
• Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Responsibilities

• Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement.
• Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding.
• Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency.
• Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users.
• Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design.

Skills

Production ML systems

Identity verification

Biometrics

GNNs

Sequence models

NLP/LLMs

Python (TensorFlow/PyTorch)

Tools

TensorFlow

PyTorch

Job description

Coinbase is hiring a Staff Machine Learning Engineer for the Identity Verification team. You will own the ML systems that determine legitimacy of person, document, and capture session during signups and high-risk actions, guiding end-to-end architecture and production enforcement to safeguard millions of accounts.

You will mentor engineers, collaborate with ML Platform and Risk ML teams, and drive cross-company ML system design while adhering to responsible AI practices.