Reinforcement Learning Infrastructure Engineer Cybersecurity

Reinforcement Learning Infrastructure Engineer Cybersecurity

For our client, we are seeking a Reinforcement Learning Infrastructure Engineer (Cybersecurity) to join the team of a leader in the Technical Services space. This role will shape high-impact initiatives at the intersection of strategy, innovation, and execution. You will partner across technical and business teams to turn complex ideas into scalable solutions and meaningful outcomes. The position offers the opportunity to influence both roadmap priorities and long-term organizational capability.

Responsibilities

• Design and build systems for generating reinforcement learning environments.
• Develop pipelines that automate software project ingestion and analysis.
• Utilize the company’s Mayhem platform for vulnerability analysis.
• Create infrastructure for training next-generation AI models.
• Collaborate with AI labs like Anthropic and OpenAI for system enhancement.
• Focus on building sustainable, reproducible environments.
• Explore innovative methods for security challenge development.

Qualifications

• 5-7 years of experience in reinforcement learning and AI development.
• Strong background in system architecture and engineering.
• Proficient in Python and C; Rust is a plus.
• Experience with DevOps practices, including CI/CD pipelines.
• Familiarity with vulnerability research and software exploitation techniques.
• Comfortable working within Linux environments and low-level debugging.
• Experience with large open-source codebases and benchmark environments.

Benefits

• 100% remote work environment.
• Supportive company culture that values diversity.
• Access to cutting-edge AI and cybersecurity projects.
• Opportunity for career growth in a pioneering tech company.
• Flexible working hours to promote work-life balance.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Key skills/competency

• Reinforcement Learning
• AI Development
• System Architecture
• Cybersecurity
• Python
• C++
• DevOps
• CI/CD
• Vulnerability Research
• Linux