USD per year
Senior Bot Detection Researcher
Remote 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. Our flagship open-source project is FingerprintJS (27K stars on GitHub). We have raised $77M and are backed by Craft Ventures (previously invested in Tesla, Facebook, Airbnb), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle). We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored. We are seeking a Senior Bot Researcher to help with our bot detection strategy within the Research team at Fingerprint. You will identify and own research directions, build high‑quality prototypes, and partner with Engineering to translate validated findings into production‑ready solutions.
What you’ll do
- 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.
You have
- Proven experience working with sophisticated bots from multiple angles, for example:
- Building or analyzing scrapers and automation frameworks
- Developing or bypassing bot avoidance and mitigation systems
- Detecting and attributing automated traffic at scale
- Deep knowledge in several of the following areas:
- 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.
- Ability to move from ambiguous problem statements to clear experiments and measurable outcomes.
- Excellent written and verbal communication in English.
Nice to have
- Experience red‑teaming bot defenses or operating detection systems in production.
- Contributions to open‑source security, scraping, or detection tooling.
- Proficiency with JavaScript/TypeScript for browser research and Go for backend prototyping.
Tech we use
- Frontend: TypeScript
- Backend: Go
If you’re excited to shape the strategy and signals that keep bots out while preserving real users’ experiences, we’d love to hear from you. *Compensation Range* For *US-based employees, the cash compensation range for this role is $200,000 – $235,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US. We have noticed a rise in recruiting impersonations across the industry...* Offers vary depending on relevant experience... Due to regulatory reasons... Fingerprint teammates need authorization... Fingerprint strives for inclusivity... If you are applying as a resident of California... CCPA notice... If you are applying as a resident of EU... GDPR notice...
Empowering businesses to detect and prevent online fraud with the world's most accurate device identifier. Mission to power a safe and seamless internet through device intelligence, providing accurate device intelligence signals to reduce fraud, strengthen security, and enhance user experience.
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