AI has changed software development. Security hasn't caught up until now. Corridor is redefining product security for the AI era, giving developers the ability to secure their AI-generated code.
Our team works 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 worked on open models in government and academia. We're hiring an AI Engineer to help build, experiment with, and ship the AI systems that power Corridor's core product.
This is a hands-on role combining applied research and engineering. You'll work closely with the team to prototype ideas, turn research into production systems, and contribute to applied research at the intersection of AI and security.
What You'll Do
Build and experiment with AI systems for code understanding, vulnerability detection, and agentic security tools
Implement research ideas end-to-end, from prototypes and benchmarks to production-ready systems
Collaborate on applied research projects and contribute to publications, blog posts, or benchmarks
Help design and maintain infrastructure for model evaluation, training, and experimentation
Work closely with product and engineering teams to integrate AI capabilities into Corridor's platform
Stay current with new developments in AI, especially as they relate to code and security
What We're Looking For
Strong engineering background with experience building real systems or projects
2+ years of industry or research experience in software engineering, ML, or a related field
Hands-on experience writing production-quality code (Python, ML frameworks, backend systems, vector stores, hybrid search, databases, etc.)
Interest in applied AI research and the ability to turn ideas into working software
Familiarity with model fine-tuning, evaluation pipelines, or RL-style environments
Self-directed and curious. You can take ownership of ambiguous projects
Nice to Have
Experience with code generation and/or security
Prior research experience or publications in ML/AI or security venues
Open-source contributions or public technical writing (blogs, benchmarks, demos)
About Us
Co-founder and CEO Jack Cable
is a top-ranked bug bounty hunter who previously led Secure by Design at CISA.
Co-founder and CTO Ashwin Ramaswami
built large-scale systems at Skiff, Caldera, and Nooks, and published research on AI and open foundation models at Stanford.
CPO Alex Stamos
is the former CISO of Facebook, Yahoo, and SentinelOne and a current lecturer at Stanford University.
Some of our angels and advisors include Russell Kaplan (Cognition), Thomas Wolf (Hugging Face), Jonathan Frankle (Databricks), and Mike Krieger (Anthropic).
Check out some of our existing blog posts on AI:
The State of Secure Coding Benchmarks: BaxBench
The State of Secure Coding Benchmarks: SecCodeBench