Staff Machine Learning Engineer (Platform - Identity)

Details

Coinbase is a remote-first, but not remote-only company. Employees are expected to meet quarterly for in-person working sessions called “surges.”

As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you will own the machine learning 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 will lead the technical strategy for identity-verification machine learning end to end, from architecture through production enforcement, protecting the integrity of millions of accounts.

Responsibilities

• Own the full identity-verification ML stack, including document authenticity models, 1:1 and 1:N face matching, liveness detection, presentation-attack detection, and deepfake/injection detection, from feature pipelines through threshold tuning and production enforcement.
• Build identity-graph systems using graph neural networks (GNNs) to cluster accounts sharing biometric, device, and document signals in order to detect synthetic-identity rings and coordinated fraud during onboarding.
• Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-versus-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 an 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 of experience 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 experience in at least two of the following: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.
• Expert-level Python skills and production experience with TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure.
• A track record of translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders.
• Responsible use of generative AI, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Compensation

The annual base salary range is $218,025–$256,500 USD, excluding equity and bonus. Total compensation may also include equity and bonus eligibility, along with medical, dental, vision, and 401(k) benefits.

Additional Information

• Candidates may submit a maximum of three applications within a six-month period.
• Coinbase is an Equal Opportunity Employer.
• US applicants can access Employee Rights, Know Your Rights, and E-Verify notices.
• Reasonable accommodations are available for applicants with disabilities.
• Applicants agree to Coinbase's Candidate Privacy Notice and, for US applicants, Arbitration of Disputes terms when submitting an application.