AI Research Engineer, Security
פורסם 5 באוג׳ · 0 מועמדים
התפקיד במילים פשוטות
התפקיד כולל מחקר ופיתוח אבות-טיפוס (POCs) לגישות חדשות בתחום אבטחת אפליקציות (AppSec), מעבר לכלים המסורתיים. העבודה היומיומית כוללת תכנון ניסויים, בדיקת תכונות אבטחה חדשות, והערכה ואופטימיזציה של סוכני מודלי שפה (LLMs) לתרחישי אבטחה, לצד שיתוף פעולה עם צוותי המוצר וההנדסה.
- 5+ years of experience building security solutions and engineering systems
- Strong research and engineering fundamentals with hands-on experience building new solutions from scratch
- Experience evaluating, optimizing, and extracting results from LLM-based agents and models
- Scientific and data-driven approach to experimental design, validation, and distilling signal from noise
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים לבעלי מעל 5 שנות ניסיון בבניית פתרונות אבטחה, עם הבנה מעמיקה באבטחת קוד ויכולת לבנות פתרונות מאפס תוך שימוש בסוכני AI. הוא פחות מתאים למי שמחפש תפקיד פיתוח שגרתי ללא רכיב מחקרי או ללא רקע עמוק באבטחת מידע.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןWhat We're About
Apiiro is the Agentic AppSec Platform built to transform how development teams design, develop, and deliver secure software. Powered by Deep Code Analysis, we give security and engineering teams the risk context they need to ship fast without cutting corners. As pioneers in ASPM, we're not just keeping up with the AI era. We're defining what secure development looks like inside it.
About The Team
Our Research team operates like a startup inside Apiiro: strategic, high-ownership, and working directly with leadership. We drive the innovation behind Apiiro's AI-native platform, researching and prototyping the next generation of capabilities and guiding both product and go-to-market teams in bringing them to customers. We work at the edge of the security industry, envisioning and building first-of-their-kind, category-defining agentic development security solutions.
What You Will Do
• Research and prototype novel approaches to application security that go beyond traditional AppSec tooling.
• Build proofs-of-concept for advanced prevention, detection, triage, and remediation capabilities.
• Design experiments and validate new security features through data-driven testing.
• Partner with product and engineering to bring successful POCs into the core platform.
• Evaluate and optimize LLM-based agents and model outputs for security use cases.
What You're About
• 5+ years building security solutions, with deep-level understanding of code security: attack patterns, detection methods, and contextual remediation.
• You know how to scientifically tell truth from information: distill signal from noise and extract exceptional results out of AI agents.
• Strong research and engineering fundamentals, with hands-on experience building new solutions from scratch.
• A problem-solver mindset: you learn fast and approach unfamiliar problems with curiosity.
• A proactive team player who takes ownership and helps the team move faster.
What We Stand For at Apiiro
Customer-First. Our customers are partners, not just clients. We anticipate their needs, go above and beyond to prove business outcomes, and measure our success by theirs.
Excellence Mindset. We set the bar high, embrace challenges with curiosity, and never settle. Good enough isn't in our vocabulary.
OneTeam. One mission, collective ownership, no silos. Our strength is in how we show up for each other and for our customers.
Accountability. We own our actions, our commitments, and our results. Integrity and follow-through are built-in.
Most companies react to security. We believe it should be built in from the start. If that mission resonates, let's talk.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 5+ years of experience building security solutions and engineering systems, Strong research and engineering fundamentals with hands-on experience building new solutions from scratch, Experience evaluating, optimizing, and extracting results from LLM-based agents and models, Scientific and data-driven approach to experimental design, validation, and distilling signal from noise