Investigate, analyze, and learn from ongoing cybersecurity attacks in order to develop durable detection and prevention solution/strategies across the kill-chain or product/OS enhancements. Shares and leads within team. You will primarily be running telemetry-based attack investigations and threat hunting mixed with light reverse-engineering. Design, code, and maintain client-side and cloud machine learning and automation systems that powers cybersecurity protection in our products and services. Experiment with and apply large language models and agentic systems to protect our customers and improve our internal systems. Supports the management of incidents by applying technical knowledge to diagnose and triage issues with a commitment to maintaining the quality of products and services. Takes notes during incidents and participates in postmortem and root-cause analysis processes. Work with other internal and external teams to forge new and improve existing partnerships that help mature the product. Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 4+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. These requirements include, but are not limited to the following specialized security screenings: Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 8+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR equivalent experience. 2+ years of experience with coding. 1+ years of experience with language models or machine learning. Experience in classical and deep learning machine learning methods. Experience with reverse engineering.