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aicryptotechML Engineer
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About this role
Join Coinbase as a Staff Machine Learning Engineer to lead the Identity Verification team, owning the ML systems that ensure account integrity. Work remotely and earn a competitive salary between $150K and $250K.
Description
Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”
Responsibilities
What you'll do:
- 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.
Requirements
Required Skills and Experience:
- 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.
Conditions & Benefits
Pay Transparency Notice:
- Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
- Annual base salary range (excluding equity and bonus): $218,025 — $256,500 USD.
Job Details
Salary$150,000–$250,000
LocationRemote
AI Score★★★★★★★★★☆ 9/10
PostedJun 11, 2026 (46d ago)
Tags & Skills
aicryptotechML Engineerremote
Tech Stack
Machine LearningPythonTensorFlowPyTorchComputer VisionBiometricsGNNsNLPLLMs