What are the responsibilities and job description for the Research Engineer position at Corridor?
Description
AI has changed software development. Security hasn't caught up – until now. Corridor is changing the game of product security, giving developers the ability to secure their AI coding.
Our team has lived at the intersection of AI and cybersecurity. Collectively, we've led security at some of the world’s largest companies, driven cybersecurity policy efforts in the US government, and published AI research at Stanford. We’re growing fast and seeking a Research Engineer to push the frontier of agentic systems, reinforcement learning environments, and secure AI behavior for code security.
What You’ll Do
AI has changed software development. Security hasn't caught up – until now. Corridor is changing the game of product security, giving developers the ability to secure their AI coding.
Our team has lived at the intersection of AI and cybersecurity. Collectively, we've led security at some of the world’s largest companies, driven cybersecurity policy efforts in the US government, and published AI research at Stanford. We’re growing fast and seeking a Research Engineer to push the frontier of agentic systems, reinforcement learning environments, and secure AI behavior for code security.
What You’ll Do
- Drive innovation in agentic systems and reinforcement learning environments.
- Bridge cutting-edge research with the Corridor platform, contributing to research publications, and collaborating with the engineering team to advance the state of secure AI systems.
- Develop rigorous security benchmarks to evaluate model robustness and adversarial behavior, and prototype novel architectures that combine large language models (LLMs) and program analysis.
- Deep experience in AI/ML research — typically a PhD in computer science, machine learning, or related fields, or equivalent industry experience.
- Strong publication record or evidence of impactful research; papers in AI/ML venues are a plus.
- Expertise building agentic systems and RL environments
- Experience building evals, benchmarks, or adversarial tests for model performance, reasoning, or security.
- Strong programming ability (Python / TypeScript preferred) and comfort building research pipelines and experimental environments.
- Familiarity with program analysis, static/dynamic analysis, or code reasoning (bonus).
- Experience with open-weight models or fine-tuning workflows is a plus.
- CEO Jack Cable is a top-ranked bug bounty hunter who previously led Secure by Design at CISA.
- CTO Ashwin Ramaswami built large-scale systems at Skiff, Caldera, and Nooks, and published research on AI and foundation models at Stanford.
- CSO Alex Stamos is the former CISO of Facebook, Yahoo, and SentinelOne and a current lecturer at Stanford University.