About the role
Mirendil 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 believe accelerating scientific discovery is one of the most powerful ways to improve the future of humanity, and that AI will play a central role in making that possible. We are building a frontier AI research company and training our own models end-to-end. Our work spans areas such as model training, reinforcement learning, reasoning systems, and infrastructure for large-scale experiments. Our team includes researchers and engineers from Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.
The Role 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 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 $350,000–$500,000 USD and a meaningful equity grant, depending on experience and background, along with competitive
benefits.
