Security Research

Requirements:
At least 3 years of experience in security research, fraud research, detection engineering, threat research, mobile security research, browser security research, or a similar hands-on technical role.
Bachelors degree in Computer Science, Cybersecurity, Data Science, or a related field or equivalent hands-on experience.
Strong hands-on experience with at least one of the following areas:
Desktop or mobile browsers, browser APIs, browser automation, browser fingerprinting, web signals, or client-side web security.
Native mobile applications for Android or iOS, mobile OS behavior, device signals, emulators, mobile automation, app instrumentation, or mobile security.
Strong understanding of web technologies, mobile technologies, APIs, application behavior, and modern attack techniques.
Strong Python skills and experience building research tools, automation, data analysis workflows, detection prototypes, or feature engineering pipelines.
Experience analyzing messy real-world data, investigating anomalies, validating hypotheses, and drawing practical conclusions from incomplete information.
Familiarity with machine learning training and validation concepts, such as train/test split, validation sets, overfitting, leakage, feature quality, precision/recall, false positives, false negatives, and model evaluation.
Ability to produce data features in a structured, reliable, and model-friendly way.
Ability to think like an attacker while designing reliable, scalable, and explainable defenses.
Strong problem-solving skills, independence, persistence, and a getting things done attitude.
Excellent communication and interpersonal skills.
Ability to work closely with engineering, product, and data science teams and translate research insights into practical product capabilities.