Research Engineer Cybersecurity RL Environments

You will design and implement reinforcement-learning environments for realistic cybersecurity scenarios. You will build synthetic training-data pipelines and the supporting container, sandbox, VM, cloud, and Kubernetes infrastructure. You will evaluate model capabilities, collaborate with security specialists, and write well-tested Python code.

Responsibilities

• Design and implement reinforcement-learning environments for cybersecurity scenarios
• Build pipelines and infrastructure for synthetic cybersecurity training instances
• Conduct experiments and evaluations of model capabilities
• Own container, sandbox, VM, cloud-deployment, and Kubernetes infrastructure
• Translate security expertise into reproducible environments and datasets
• Write efficient Python code and apply testing, code review, and CI/CD practices

Requirements

• Expertise in offensive and/or defensive cybersecurity, including vulnerability analysis, web, network, or cloud security, secure coding, and SOC
• Software engineering skills
• Python fluency and ability to read C/C++ for vulnerability analysis
• DevOps experience with Docker, Kubernetes, cloud deployments, and sandboxed or simulated environments
• Knowledge of reinforcement-learning techniques and LLM training methodologies, or motivation to develop it

Benefits

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