Staff Machine Learning Engineer(Platform - Identity)

Job Summary

At Coinbase, we are dedicated to increasing economic freedom. This is a challenging role where you will be responsible for developing and maintaining machine learning systems that ensure the legitimacy of user identities and transactions.

About the Role

As a Staff Machine Learning Engineer on the Identity Verification team, you will be leading the technical strategy for IDV ML end-to-end, from architecture through production enforcement. You will protect the integrity of millions of Coinbase accounts by ensuring that signups, account recoveries, and high-risk actions are legitimate.

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.
• Develop identity-graph systems using Graph Neural Networks (GNNs) that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding.
• Build 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

• 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.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, Statistics, or related field.
• Experience with large-scale machine learning systems and cloud platforms (AWS, Google Cloud, Azure).
• Strong understanding of ethical AI principles and practices.

Skills

• Machine Learning
• Identity Verification
• Graph Neural Networks (GNNs)
• Computer Vision
• Bioinformatics
• Sequence Models
• Natural Language Processing (NLP)
• Large-Scale Systems Design
• Cloud Platforms (AWS, Google Cloud, Azure)

Benefits

• Remote-first, with quarterly in-person working sessions called "surges."
• Competitive base salary ranging from $218,025 USD to $256,500 USD.
• Equity and bonus eligibility.
• Comprehensive medical, dental, and vision coverage.
• 401(k) retirement plan.

Pay

Annual base salary range (excluding equity and bonus): $218,025 USD - $256,500 USD.

Schedule

Remote-first, with quarterly in-person working sessions called "surges."