Staff Machine Learning Engineer(Platform - Identity)

Coinbase
United States
Workplace: RemoteFull timeUSD 218,025 - 256,500 annuallyFunction: Data Science & Machine LearningSkills: ["Technical leadership","Mentorship","Cross-team collaboration","Trade-off communication","Responsible AI judgment"]

Own the end-to-end ML systems for Identity Verification, ensuring signup, account recovery, and high-risk actions rely on accurate document authenticity, face match, liveness, and attack detection. Build identity-graph systems with GNNs to uncover synthetic identity rings, and develop real-time anomaly, bot-vs-human, and device-fingerprint risk scoring. Benchmark and route across vendors, and lead/mentor engineers while partnering with ML Platform and Risk ML teams.

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FursaFursa
Coinbase
Coinbase
15 hours ago

Staff Machine Learning Engineer(Platform - Identity)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Own the end-to-end ML systems for Identity Verification, ensuring signup, account recovery, and high-risk actions rely on accurate document authenticity, face match, liveness, and attack detection. Build identity-graph systems with GNNs to uncover synthetic identity rings, and develop real-time anomaly, bot-vs-human, and device-fingerprint risk scoring. Benchmark and route across vendors, and lead/mentor engineers while partnering with ML Platform and Risk ML teams.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the full Identity Verification ML stack, including document authenticity, face match (1:1 and 1:N), liveness detection, presentation-attack detection, and deepfake/injection detection through to production enforcement.
  • •Build identity-graph systems using GNNs to cluster biometric, device, and document signals and detect synthetic-identity rings and coordinated fraud.
  • •Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and real-time risk scoring.
  • •Drive vendor ML strategy by benchmarking external models against a Coinbase evaluation set, designing dynamic routing logic, and building an in-house evaluation layer to catch regressions before release.
  • •Lead and mentor senior and mid-level engineers in the pod and partner with ML Platform and Risk ML teams to align cross-company ML system design.

Pay and Benefits

Salary: USD 218,025 - 256,500 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401k

Key Requirements

  • •8+ years deploying production ML systems at scale, with 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 areas such as 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.
  • •Translate KYC/AML requirements and fraud trends into ML roadmaps and communicate trade-offs to Product, Compliance, Risk, and Security stakeholders.
  • •Use generative AI responsibly with human oversight to deliver business-ready outputs and measurable workflow improvements.
Experience:Identity verificationBiometricsKYC/AMLFraudComputer visionGraph neural networksNLPLLMs
Skills:Technical leadershipMentorshipCross-team collaborationTrade-off communicationResponsible AI judgment
Tech Stack:PythonTensorFlowPyTorchGNNsComputer visionBiometricsLiveness detectionFace matchNLPLLMsSequence models

Company Brief

Coinbase
Operates a cryptocurrency exchange and financial services platform that enables buying, selling, storing, and earning crypto assets, institutional trading, custody, and developer tools for blockchain applications.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2012
WebsiteLinkedIn