Staff Machine Learning Engineer(Platform - Identity)

ABOUT THE ROLE We are seeking a highly skilled and experienced Staff Machine Learning Engineer to lead the technical strategy for Identity Verification (IDV) ML end-to-end at Coinbase. As a key member of the Platform group, you will own the ML systems that determine whether a person, document, and capture session are legitimate, protecting the integrity of millions of accounts. Your work will have a significant impact on the future of finance, and we are looking for someone who is passionate about building the most impactful work of their career. WHAT YOU'LL DO As a Staff Machine Learning Engineer on the Identity Verification team, you will be responsible for leading the technical strategy for IDV ML, from architecture through production enforcement. Your key responsibilities will include: - Owning the full IDV ML stack, including document authenticity models, face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. - Building identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. - Developing behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. - Driving 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. - Leading and mentoring senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design. WHAT YOU'LL NEED To be successful in this role, you will need: - 8+ years of experience deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture from design through production. - 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. - A track record of translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders. - The ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. WHY REMOTE Coinbase is a remote-first company, with quarterly in-person working sessions called "surges." This role will be based remotely, with the opportunity to collaborate with a talented team of engineers and leaders. BENEFITS Coinbase offers a competitive total compensation package, including an annual base salary range of $218,025 - $256,500 USD, equity, bonus eligibility, and benefits (medical, dental, vision, 401(k)).