[Remote] Staff Machine Learning Engineer(Platform - Identity)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a remote-first company focused on increasing economic freedom. They are seeking a Staff Machine Learning Engineer for the Identity Verification team, responsible for owning the ML systems that ensure the legitimacy of accounts and documents, as well as leading technical strategies for ML architecture and production enforcement.

Responsibilities

• Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through reputed company tuning and production enforcement
• Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at reputed company
• reputed company behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-reputed company classification, and device-reputed company-based risk scoring at reputed company-time latency
• Drive vendor ML strategy by benchmarking external models against a reputed company-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that reputed company regressions before they reputed company users
• reputed company 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

Skills

• 8+ years 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 reputed company with deep applied ML in at least two of: computer reputed company/biometrics, GNNs, sequence models, or NLP/LLMs
• Expert-level Python with production experience in TensorFlow or PyTorch, including model 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 reputed company stakeholders
• Utilizes reputed company responsibly, maintaining reputed company reputed company to deliver business-reputed company outputs and drive measurable improvements in workflow efficiency, cost, and quality

Benefits

• Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, reputed company, 401(k))

Company Overview

Company H1B Sponsorship