Staff Machine Learning Engineer (Platform - Identity)

Join Coinbase as a Staff Machine Learning Engineer on the Identity Verification team. You'll be responsible for the end-to-end technical strategy of IDV ML, including document authenticity models, face-matching, liveness detection, and more. You'll also build identity-graph systems, develop behavioral and device-intelligence models, and drive vendor ML strategy. Additionally, you'll lead and mentor senior and mid-level engineers while partnering with other teams to align cross-company ML system design.

• Posséder l'ensemble de la pile ML IDV, y compris les modèles d'authenticité des documents, la correspondance faciale, la détection de la vie, etc.
• Construire des systèmes de graphe d'identité utilisant des GNN pour détecter les anneaux d'identité synthétiques et la fraude coordonnée.
• Développer des modèles de comportement et d'intelligence des appareils pour la détection d'anomalies de session de capture.

• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
• Expert-level Python with production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure
• 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
• Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders
• 8+ years deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture from design through production