Founding Device Fingerprinting Engineer

Responsibilities

• Owning the fingerprinting roadmap end to end — from signal collection in our mobile SDKs (iOS, Android) and server-side APIs, to the feature engineering pipelines that turn raw attributes into fraud signals
• Building and hardening device fingerprinting systems — persistent device identity across app reinstalls, rooted/emulated device detection, hardware attestation, and spoofing resistance for both web and mobile contexts
• Developing network intelligence signals — IP reputation scoring, proxy/VPN/datacenter detection, TLS/JA4 fingerprinting, carrier and MCCMNC enrichment, and residential vs. commercial traffic classification
• Applying ML to fingerprinting problems — anomaly detection on device attribute distributions, clustering to identify fraud rings sharing infrastructure, supervised classification of suspicious signal patterns, and adversarial robustness against evolving evasion techniques
• Integrating with our real-time scoring engine — producing low-latency features that enrich our per-authentication risk model under strict latency constraints
• Researching attacker techniques — reverse-engineering anti-detect tooling, automation frameworks, and bypass techniques to stay ahead of the adversarial curve
• Laying the groundwork for a team — defining engineering standards, research practices, and data pipelines that will scale as we hire around you.

Languages