Distinguished AI Researcher

<div class="content-intro"><p>Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.</p> <p class="p1">The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.<span class="Apple-converted-space"> </span></p></div><div class="elementToProof"><strong>About the Role</strong> </div> <div class="elementToProof">We are seeking a <strong>Distinguished AI Researcher</strong> to collaborate on the strategy, vision, and execution of the AI elements in Vectra’s groundbreaking initiative to transform the Security Operations Center (SOC). This solution harnesses <strong>classical</strong> <strong>AI/ML</strong> and <strong>Agentic AI approaches</strong> to radically transform the entire SOC operational model, enabling enterprises to more intelligently process alerts, to identify and resolve real threats faster, and to identify changes to the environment that will lead to better future outcomes. </div> <div class="elementToProof">This is a <strong>hands-on leadership role, </strong>that will require<strong> </strong>you to contribute to the development and innovation of foundation models, classical ML, graph and time-series methods, and training and evaluation techniques — from idea to prototype, and ultimately to enterprise scale production. The role reports directly to the CTO. </div> <div class="elementToProof"><strong>Key Responsibilities</strong> </div> <ul> <li> <div class="elementToProof">Collaborate with distinguished technical staff on design and implementation of AI solutions for end-to-end automation of<strong> </strong>detection, triage, investigation, and response across SOC workflows. </div> </li> <li> <div class="elementToProof">Work with Engineering and PM leaders to understand market and product requirements and develop AI strategies that enable rapid development while maximizing performance. </div> </li> <li> <div class="elementToProof">Rapidly adopt novel methods and architectures when advantageous, while vocally advocating traditional techniques when they are more well suited. In particular, bring a deep knowledge of how modern GenAI systems operate and where they are best used and not used. </div> </li> <li> <div class="elementToProof">Research and innovate state-of-the-art approaches in AI/ML/GenAI to solve the many complex, novel and evolving challenges in the domain of cybersecurity. </div> </li> <li> <div class="elementToProof">Publish internally/externally; work with team members to contribute to top-tier conferences and journals while also contributing to non-technical communications. </div> </li> </ul> <div class="elementToProof"> </div> <div class="elementToProof"><strong>Qualifications</strong> </div> <ul> <li> <div class="elementToProof">Advanced degree<strong> </strong>in CS/EE/Math/Physics (PhD preferred) or equivalent research/industry track record. </div> </li> <li> <div class="elementToProof">10+ years hands-on experience with ML/AI and<strong> </strong>5+ years building and shipping ML systems with direct production impact. Knowledge and expertise in the following areas: </div> </li> <ul> <li> <div class="elementToProof"><strong>“Traditional” ML</strong>: Deep Learning, Reinforcement Learning, anomaly detection, Bayesian inference, gradient boosting, sequence models, HMMs, etc. </div> </li> <li> <div class="elementToProof"><strong>LLMs GenAI</strong>: tokenizer/training pipeline design; SFT/DPO/GRPO; retrieval design (chunking, hybrid search, routing); evaluation methods (faithfulness, groundin ... (truncated, view full listing at source)