Applied Scientist Cybersecurity

You will develop, pre-train, and post-train domain-specialized security models. You will create benchmarks, sandboxed execution environments, reinforcement-learning tasks, verifiers, and training-data pipelines. You will build tools for model training, evaluation, and deployment, while managing technical delivery and customer research communications.

Responsibilities

• Develop, pre-train, and post-train domain-specialized foundation models for defensive security
• Design security evaluations and benchmarks
• Build sandboxed execution environments, reinforcement-learning tasks, and verifiers
• Generate and curate training data
• Develop tools and frameworks for data generation, training, evaluation, and deployment
• Own technical delivery across project sprints
• Manage research communications with customer teams

Requirements

• Fluency in English
• Experience building harnesses, benchmarks, or reinforcement-learning environments for code, agentic, or security tasks
• Security background in vulnerability research, exploit development, red teaming, or detection and incident response
• Ability to contribute independently to a large codebase
• Python programming
• Track record through personal projects, professional projects, or academia

Benefits

• Healthcare coverage
• Parental leave
• Retirement plans
• Relocation support
• Wellness programs
• Meal allowances
• Transportation allowances
• Location-specific perks