Web Browser Researcher (Bot Detection)

Company: Fingerprint empowers developers to stop online fraud at the source. We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. We are a globally dispersed, 100% remote company with a strong open-source focus (FingerprintJS - 20K stars). We are backed by Craft Ventures, Nexus Venture Partners, and Uncorrelated Ventures ($77M raised).

Role: We’re looking for a Web Security Researcher to drive innovation in bot detection and web security. This role is ideal for a security-focused engineer or researcher with strong reverse engineering skills, a passion for anomaly detection, and a deep understanding of how the web works under the hood. You’ll lead the full research lifecycle—from concept through implementation—creating tools and techniques to detect sophisticated bots before they ever reach production. You’ll work alongside a world-class team that values autonomy, speed, and deep technical expertise.

Responsibilities:
* Research and prototype advanced methods to detect and prevent sophisticated bots
* Reverse-engineer web automation tools and evasive techniques
* Build internal tools to test hypotheses and validate detection models
* Own the entire R&D cycle: from ideation to secure, production-ready implementation

Requirements:
* Proven ability to design and conduct complex security research projects
* Deep understanding of web browsers, web automation, and client-side evasion techniques
* Hands-on experience with JavaScript/TypeScript
* Strong reverse engineering skills
* Solid grasp of internet security and privacy mechanisms
* Ability to thrive in ambiguity and drive projects independently
* Excellent written and verbal communication in English

Bonus Points:
* Experience developing or bypassing bot detection systems
* Familiarity with bot mitigation strategies at scale
* Contributions to open-source security or reverse engineering tools

Ideal Candidate: A security-focused engineer or researcher passionate about web internals, anomaly detection, and tackling sophisticated bot threats, comfortable working independently in a remote, high-autonomy environment.