Research Engineer, Cybersecurity RL
Research Engineer developing machine-learning and reinforcement-learning systems for defensive cybersecurity, including agentic investigations, experiments, evaluations, and production training runs. Requires cybersecurity research experience, strong software engineering, and a bachelor’s degree or equivalent experience.
About the job
Responsibilities
- Partner with researchers and safety teams to understand analytical needs and build solutions.
- Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings.
- Design and implement reinforcement-learning environments.
- Conduct experiments and evaluations and deliver work into production training runs.
- Contribute to team strategy, including decisions about what to build, partner on, and invest in.
- Collaborate with researchers, engineers, and cybersecurity specialists.
- Participate in an on-call rotation as needed.
Requirements
- Experience with machine learning.
- Experience in cybersecurity research.
- Strong software engineering skills.
- Ability to balance research exploration with engineering implementation.
- Bachelor’s degree or equivalent combination of education, training, and experience in a relevant field.
Nice to have
- Professional experience in security engineering, fuzzing, detection and response, or applied defensive cybersecurity.
- Experience participating in or building CTF competitions and cyber ranges.
- Academic research experience in cybersecurity or another experimental research background.
- Familiarity with reinforcement-learning techniques and environments.
- Familiarity with large language model training methodologies.
Skills
Machine Learning, Cybersecurity, Software Engineering, Reinforcement Learning, Rl Environments, Security Engineering, Fuzzing, Detection And Response, Ctf Competitions, Cyber Ranges, Llm Training
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