Staff Machine Learning Engineer, Identity Verification – own the ML systems that determine legitimacy of person, document, and capture session; lead end-to-end IDV ML strategy from architecture to production enforcement; build identity-graph systems and behavioral/device-intelligence models; drive vendor ML strategy and in-house evaluation; mentor engineers in the pod; collaborate with ML Platform and Risk ML teams.
Requirements
8+ years deploying production ML systems at scale with cross-team architecture ownership.
Domain experience in identity verification, biometrics, or account integrity with applied ML in at least two: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.
Expert-level Python with production experience in TensorFlow or PyTorch (training, evaluation, serving).
Experience translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security.
Responsible use of generative AI with human oversight to deliver business-ready outputs and measurable improvements.
Compensation & benefits
Base salary varies by location; annual base salary range: $218,025—$256,500 (excluding equity and bonus).
Total compensation may include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Remote-first, but not remote-only; in-person surges quarterly.