Note: The job is a remote job and is open to candidates in USA. Coinbase is a company on a mission to increase economic freedom through the future of finance. The Staff Machine Learning Engineer will own the identity verification machine learning systems that assess the legitimacy of people, documents, and capture sessions, while leading technical strategy from architecture through production enforcement. The role also involves building fraud-detection models, guiding vendor ML strategy, and mentoring engineers.
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, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users
- Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design
Skills
- 8+ years 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
- Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
Benefits
- Equity eligibility
- Bonus eligibility
- Medical benefits
- Dental benefits
- Vision benefits
- 401(k)
- Remote-first work arrangement
- Quarterly in-person working sessions called “surges”
Company Overview
Company H1B Sponsorship