Fingerprint is seeking a Senior Bot Researcher to enhance their bot detection strategy and develop solutions to identify and counteract sophisticated bots across various layers of online interaction.
Requirements
- Building or analyzing scrapers and automation frameworks
- Developing or bypassing bot avoidance and mitigation systems
- Detecting and attributing automated traffic at scale
- Browser fingerprinting and client integrity
- Behavioral signal design and anomaly detection
- Network‑level bot detection, traffic analysis, and reputation
- Anti‑bot evasion techniques and counter‑evasion design
- Strong reverse‑engineering skills, including JavaScript deobfuscation.
- Solid understanding of web security and privacy mechanisms.
- Proficiency with JavaScript/TypeScript for browser research and Go for backend prototyping.
Responsibilities
- Define and own the research strategy for detecting sophisticated bots across browser, behavioral, and network layers.
- Design and run experiments, build research tooling, and validate detection hypotheses with rigorous measurement.
- Analyze how advanced scrapers and bot operators work, and develop effective countermeasures and evasion‑resistant signals.
- Collaborate closely with Product and Engineering to prioritize a roadmap and graduate proven concepts into production.
- Track the evolving anti‑bot landscape and publish internal briefs, benchmarks, and guidance.
Other
- Ability to move from ambiguous problem statements to clear experiments and measurable outcomes.
- Excellent written and verbal communication in English.
- Experience red‑teaming bot defenses or operating detection systems in production.
- Contributions to open‑source security, scraping, or detection tooling.
- Fingerprint teammates need to be authorized to work from their home location.