Masters Degree in Statistics, Mathematics, Computer Science, Risk Management, Cyber Security, or related field AND 4+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection OR Bachelors Degree in Statistics, Mathematics, Computer Science, Risk Management, Cyber Security, or related field AND 6+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection OR equivalent experience. You will combine deep vulnerability research with AI experimentation: researching vulnerability classes and language ecosystems, identifying representative evaluation targets, building and reviewing ground truth, analyzing missed and incorrect findings, and developing improvements that measurably increase recall, precision, consistency, and fix quality.