Staff Machine Learning Engineer (Platform - Identity)

Stack

Responsibilities

• ▹Own the full IDV ML stack: document authenticity models, face-match, liveness detection, presentation-attack and deepfake detection
• ▹Build identity-graph systems using GNNs to detect synthetic-identity rings and coordinated fraud
• ▹Develop behavioral and device-intelligence models for capture-session anomaly detection and bot-vs-human classification
• ▹Drive vendor ML strategy by benchmarking external models and designing dynamic routing logic across providers and geographies
• ▹Lead and mentor senior and mid-level engineers, partnering with ML Platform and Risk ML teams

Requirements

• ▹8+ years deploying production ML systems at scale, with proven technical leadership from design through production
• ▹Domain experience in identity verification, biometrics, or account integrity, with deep applied ML in at least two of: computer vision, GNNs, sequence models, or NLP/LLMs
• ▹Expert-level Python with production experience in TensorFlow or PyTorch
• ▹Track record translating KYC/AML requirements and fraud trends into ML roadmaps
• ▹Uses generative AI responsibly, with human oversight, to drive measurable efficiency improvements

Soft skills

What we offer

• ▹Remote-first work model (quarterly in-person surges)
• ▹Equity and bonus eligibility
• ▹Medical, dental, vision, and 401(k)

About the company

Coinbase's Identity Verification team, part of the Platform group, protects the integrity of every account through these ML systems; remote-first with quarterly in-person "surges".