Coinbase is a remote-first company on a mission to increase economic freedom, with quarterly in-person working sessions called "surges."
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 and designing dynamic routing logic across providers and geographies.
Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams.
Requirements
8+ years deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture.
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.
Utilizes generative AI responsibly, maintaining human oversight.
Conditions
Annual base salary range: $218,025 — $256,500 USD, plus equity and bonus eligibility and benefits (medical, dental, vision, 401(k)).
Remote-first, but not remote-only; quarterly in-person surges.