# Staff Machine Learning Engineer

**Company:** [Coinbase](https://hotfix.jobs/companies/coinbase)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $218k – $257k/yr
**Experience:** 8+ years
**Skills:** Python, TensorFlow, PyTorch, Computer Vision, Graph Neural Networks, Biometrics, NLP, LLMs, Kyc/Aml, Machine Learning
**Posted:** 2026-06-12

> Staff ML Engineer leading end-to-end identity verification ML systems including document authenticity, face matching, liveness detection, GNN-based identity graphs, and behavioral risk models. Requires 8+ years production ML experience and domain expertise in biometrics or fraud detection.

## Job Description

## 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.

## 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.

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**Apply:** https://hotfix.jobs/jobs/1dd79c81-d3e2-4305-82fc-d22064245ca2
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