Staff Machine Learning Engineer(Platform - Identity)

Coinbase
United States
Workplace: RemoteFull timeUSD 218,025 - 256,500 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Technical leadership","Mentoring","Communication","Risk awareness","Responsible AI"]

Own end-to-end identity verification machine learning systems that determine whether people, documents, and capture sessions are legitimate. Build and productionize models for document authenticity, face match, liveness, presentation-attack and deepfake/injection detection, plus identity-graph and real-time device/behavior risk scoring. Drive vendor model strategy and evaluation, and mentor engineers while partnering with ML Platform and Risk ML teams.

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FursaFursa
Coinbase
Coinbase
3 months 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: 3 hours agoStatus: Live

Job Summary

Own end-to-end identity verification machine learning systems that determine whether people, documents, and capture sessions are legitimate. Build and productionize models for document authenticity, face match, liveness, presentation-attack and deepfake/injection detection, plus identity-graph and real-time device/behavior risk scoring. Drive vendor model strategy and evaluation, and 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 (IDV) ML stack, including document authenticity, face match, liveness, presentation-attack, and deepfake/injection detection from feature pipeline through production enforcement.
  • •Build identity-graph systems using GNNs to cluster account signals and 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 risk scoring at real-time latency.
  • •Drive vendor ML strategy by benchmarking external models against a Coinbase evaluation set, designing dynamic routing across providers and geographies, and building an in-house evaluation layer to catch regressions.
  • •Lead and mentor senior and mid-level engineers while partnering with ML Platform and Risk ML teams to align cross-company ML system design.

Pay and Benefits

Salary: USD 218,025 - 256,500 annually
Perks:MedicalDentalVision401k

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 at least two of computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.
  • •Expert-level Python with production experience in TensorFlow or PyTorch, including 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.
  • •Responsible use of generative AI with human oversight to deliver business-ready outputs and measurable workflow, cost, and quality improvements.
Experience:8+ yearsIdentity verificationBiometricsFraud detectionKYC/AML
Skills:Technical leadershipMentoringCommunicationRisk awarenessResponsible AI
Languages:English
Tech Stack:PythonTensorFlowPyTorchGNNsNLPLLMs

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