Research Engineer, Cybersecurity RL (Reinforcement Learning)
$500k - $850k • San Francisco, CA | New York City, NY
Posted 9d ago
Job Location
San Francisco, CA | New York City, NY
Tech Stack
Remote Work Policy
On-site
Categories
AI Research Engineer
About the job
The Cybersecurity RL team within Horizons is seeking a Research Engineer to advance the capabilities of AI models in secure coding, vulnerability remediation, and defensive cybersecurity. This role combines research and engineering, involving the design and implementation of RL environments, conducting experiments, delivering work into production training runs, and collaborating with cross-functional teams. The ideal candidate will possess domain expertise in cybersecurity and an interest in training safe AI models, potentially coming from backgrounds such as white hat hacking, security engineering, or detection and response.
Responsibilities
- Design and implement RL environments for cybersecurity applications.
- Conduct experiments and evaluations to assess model capabilities.
- Deliver research work into production training runs.
- Collaborate with researchers, engineers, and cybersecurity specialists.
Requirements
- Experience in cybersecurity research.
- Experience with machine learning.
- Strong software engineering skills.
- Ability to balance research exploration with engineering implementation.
- Passion for AI's potential and commitment to developing safe and beneficial systems.
- Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
- Experience participating in or building CTF competitions and cyber ranges.
- Academic research experience in cybersecurity.
- Familiarity with RL techniques and environments.
- Familiarity with LLM training methodologies.
- Bachelor's degree or equivalent combination of education, training, and/or experience in a relevant field.