Staff Machine Learning Engineer – Platform, Identity

Coinbase

. Own the full identity-verification ML stack, including document authenticity, 1:1 and 1:N face matching, liveness detection, presentation-attack detection, and deepfake/injection detection .

Posted 9/17/2026full-timeRemote • United StatesLead💰 $218,025 - $256,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deploying production ML systems at scale, with a strong focus on identity verification and biometrics. Capable of leading cross-team ML architecture and translating KYC/AML requirements into actionable ML roadmaps.

Highest-signal resume keywords

Production ML Systems DeploymentTechnical Leadership in ML ArchitectureExpert-Level PythonTensorFlow or PyTorch ExperienceIdentity Verification Domain Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningComputer VisionGraph Neural NetworksSequence ModelsNatural Language ProcessingBehavioral ModelingDevice IntelligenceAnomaly DetectionRisk ScoringFraud Detection

Soft Skills

Communication with StakeholdersMentoring Engineers

Tools & Technologies

TensorFlowPyTorch

Industry Keywords

Identity VerificationBiometricsKYCAMLFraud Trends

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Own the full identity-verification ML stack, including document authenticity, 1:1 and 1:N face matching, liveness detection, presentation-attack detection, and deepfake/injection detection
Manage the feature pipeline, threshold tuning, and production enforcement
Build identity-graph systems using GNNs to detect synthetic-identity rings and coordinated fraud during onboarding
Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and real-time device-fingerprint risk scoring
Drive vendor ML strategy by benchmarking external models, designing dynamic routing across providers and geographies, and building an in-house evaluation layer
Lead and mentor senior and mid-level engineers
Partner with ML Platform and Risk ML teams on cross-company ML system design

Requirements

What you’ll need

8+ years deploying production ML systems at scale
Proven technical leadership owning cross-team ML architecture from design through production
Domain experience in identity verification, biometrics, or account integrity
Deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs
Expert-level Python
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
Ability to communicate trade-offs to Product, Compliance, Risk, and Security stakeholders
Utilizes generative AI responsibly, maintaining human oversight
Role is remote in the USA

Benefits

Comp & perks

Equity eligibility
Bonus eligibility
Medical insurance
Dental insurance
Vision insurance
401(k)
Quarterly in-person working sessions (“surges”)
Reasonable accommodations for individuals with disabilities
Free compatible screen reader and tutorial for applicants needing screen reading technology