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Mirendil is seeking a Security Engineer to reinforce our frontier AI platform. You will strengthen cloud infrastructure, ML systems, and product surfaces with privacy and security controls across the stack.
Responsibilities include designing protections against external threats, securing data transfer and secret management, building sandboxed environments for AI-generated code, and performing security reviews to keep a fast-moving product secure.
Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We are building a frontier AI research company and training our own models end-to-end.
We are looking for a Security Engineer. You'll work across cloud infrastructure, ML systems, and product surfaces to ensure privacy and security measures. Some example areas you might work on (not limited to):
Design and implement measures to protect against external threats
Design and implement protective measures around data transfer, external attacks, secret management, identity verification
Architect systems that protect sensitive assets including model weights, customer data, and training datasets
Build secure sandboxed execution environments for AI-generated code and agentic workflows
Develop frameworks for safely handling AI agent interactions with external systems and tools
Investigate across the stack to respond to security incidents
Conduct security design reviews for engineering teams, and implement/maintain security related features for a fast moving product
If you're excited about solving security problems at the frontier of AI - where the threat surface is novel and the stakes are high - we'd love to hear from you.
We offer a base salary of $300,000–$400,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.