Mirendil is a tech-first company focused on solving core bottlenecks that unlock step‑change acceleration across science and technology. The company builds frontier AI research and trains its own models end‑to‑end, working on model training, reinforcement learning, reasoning systems, and large‑scale infrastructure. The Security Engineer will work across cloud infrastructure, ML systems, and product surfaces to ensure privacy and security measures for sensitive assets and AI workflows.
Member of Technical Staff, Security Engineer at Mirendil
San Francisco, United States
More jobs at MirendilSalary
USD 350,000 - 500,000
Requirements
Skills
- Experience with cloud infrastructure security
- Knowledge of machine learning systems security
- Understanding of data transfer security
- Experience with secret management and identity verification
- Ability to protect sensitive assets including model weights and customer data
- Proficiency in building secure sandboxed execution environments for AI-generated code
- Familiarity with safely handling AI agent interactions with external systems
- English proficiency
Responsibilities
- 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
Technologies
cloud infrastructuremachine learning systemsAI
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