Staff Machine Learning Engineer(Platform - Identity)

Навыки

• AI-инструменты в работе
• Computer Vision
• HR-процессы
• Лидерство
• Machine Learning
• NLP
• Python

О компании и продукте

• At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here

Задачи

• 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
• Ready to do the most impactful work of your career?

Требования

• 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

Условия

• Coinbase is a remote-first, but not remote-only company
• Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase
• Staff Machine Learning Engineer, Identity Verification
• As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate
• Every signup, account recovery, and high-risk action at Coinbase depends on these models
• You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts

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