Quality Assurance Engineer - Magen
About The Position
MAGEN Internship Program Description Mission MAGEN’s mission is to build a behavioral -topology identity engine that keeps humans safe online by making verification effortless for people and nearly impossible for bots. Interns play a direct role in shaping the next generation of AI -native identity verification and anti -agentic security. About MAGEN (“Make the Internet Human Again”) replaces traditional CAPTCHAs with a behavioral cryptographic layer that detects bots by how they move, not what they look like. We combine randomized tetrahedral rendering, agentic honeypots, and persistent homology to create a security system that is lightweight, unobtrusive, and extremely difficult to spoof. Intern Roles 1. Engineering Intern (Security & AI Systems) - Build and test honeypot infrastructure for capturing behavioral sessions - Develop lightweight agent -detection prototypes - Work with real -time telemetry and behavioral data pipelines - Contribute to randomized rendering algorithms and topology -based detection 2. Research Intern (AI Safety & Topology) - Study adversarial agent behavior and map movement signatures - Explore persistent homology and geometric methods for identity verification - Assist with patent background research and novelty documentation - Support model evaluation, dataset refinement, and safety frameworks 3. Red -Team Intern (Adversarial Testing) - Attempt to break MAGEN systems using automation tools - Test Selenium, Puppeteer, and stealth frameworks against MAGEN defenses - Provide reports on bypass attempts and suggest mitigation strategies - Participate in simulation environments and bot battlegrounds 4. Design Intern (UX, Visualization, & Storytelling) - Create intuitive human -first verification experiences - Work with MAGEN’s visual language—tetrahedra, topology, motion - Produce visuals for investor decks, demos, and educational workshops - Collaborate on the narrative of human identity in the age of agents What Interns Will Learn - Real -world cybersecurity engineering - Behavioral data modeling & motion analysis - AI safety, adversarial testing, and identity security - Startup product development and rapid prototyping - Patent research, documentation, and founder storytelling - How to build for humans while defending against automation Who We’re Looking For - Curious builders and researchers who want hands -on experience - Students passionate about AI, cybersecurity, topology, or ethical tech - People who thrive in experimental, fast -paced environments - Individuals excited to help build the future of internet trust Location & Compensation Remote or San Antonio–based. Stipend -based or for -credit depending on role and availability. How to Apply Submit your resume, a short statement of interest, and a portfolio or GitHub link (if applicable) to [email protected] with the subject line: “MAGEN Internship Application — [Role].” Requirements Contact: Jacqueline Suttin [email protected]
Responsibilities
- Build and test honeypot infrastructure for capturing behavioral sessions
- Develop lightweight agent -detection prototypes
- Work with real -time telemetry and behavioral data pipelines
- Contribute to randomized rendering algorithms and topology -based detection
- Study adversarial agent behavior and map movement signatures
- Explore persistent homology and geometric methods for identity verification
- Assist with patent background research and novelty documentation
- Support model evaluation, dataset refinement, and safety frameworks
- Attempt to break MAGEN systems using automation tools
- Test Selenium, Puppeteer, and stealth frameworks against MAGEN defenses
- Provide reports on bypass attempts and suggest mitigation strategies
- Participate in simulation environments and bot battlegrounds
- Create intuitive human -first verification experiences
- Work with MAGEN’s visual language—tetrahedra, topology, motion
- Produce visuals for investor decks, demos, and educational workshops
- Collaborate on the narrative of human identity in the age of agents
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
