Own the IDV ML stack: document authenticity, face-match, liveness, anti-spoofing.
Build identity-graph systems with GNNs to detect synthetic identities.
Develop behavioral and device signals for capture-session risk.
Drive vendor ML strategy: benchmark external models and routing across providers.
Lead and mentor engineers; collaborate with ML Platform and Risk ML teams.

🎯 Requirements

8+ years deploying production ML at scale with cross-team leadership.
Identity verification/biometrics or account integrity; ML in CV, GNNs, sequences, or NLP/LLMs.
Expert-level Python with TensorFlow or PyTorch for training, evaluation, and serving.
Translate KYC/AML and fraud trends into ML roadmaps; communicate trade-offs.
Use generative AI responsibly with human oversight to deliver business-ready outputs.

🎁 Benefits

Remote-first culture with quarterly in-person surges.
Equity, bonus eligibility, and comprehensive benefits.
Commitment to equal opportunity and accessibility.

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