Senior Applied AI Security Researcher

- 4+ years of experience in cybersecurity, software development lifecycle, large-scale computing, modeling, or anomaly detection - 4+ years of professional background in investigating or researching cyber threats with a grasp of attacker methodologies, tools, and infrastructure - Strong verbal and written communication abilities with investigative skills - Proven experience in security research, incident response, and understanding attacker tradecraft - Knowledge in applying generative AI within the information security realm - Familiarity with creating solutions using a variety of large language models and understanding their differences - Experience with cloud-based AI tools, including Azure Foundry and Azure OpenAI Service - Proficiency in working with extensive data sets utilizing tools and scripting languages like Excel, KQL, SQL, Python, Splunk, and Power BI - Capability in detection methodologies across various platforms - Understanding of prioritizing security detection and remediation based on attacker impact and uptake - Experience with attacks and datasets involving endpoints, cloud, network, and identity - Strong foundational knowledge of operating system security and internals - Familiarity with network protocols and analytic skills with network data and telemetry - Experience in reverse-engineering through static and behavioral binary analysis - Functional knowledge of common threat analysis frameworks such as the Diamond Model, Cyber Kill Chain, and MITRE ATT&CK - Programming or scripting experience in languages like Python, PowerShell, C, or C++ is advantageous