Corridor
AI Engineer
San FranciscofulltimemidAdded today
About this role
Corridor is seeking an AI Engineer to build and deploy AI systems for code security at the intersection of applied research and engineering. You'll prototype, evaluate, and productionize AI models for vulnerability detection and code understanding while collaborating with a team of security and AI experts.
What you'll do
- Build and experiment with AI systems for code analysis, vulnerability detection, and security automation
- Develop prototypes through production systems, implementing research ideas end-to-end with benchmarks
- Design and maintain infrastructure for model evaluation, training, and experimentation
- Integrate AI capabilities into Corridor's product platform in collaboration with engineering teams
- Contribute to applied research projects including publications and technical benchmarks
- Monitor and stay current with advances in AI relevant to code security
What they're looking for
- Python and production-quality code writing
- Machine learning frameworks and model fine-tuning
- Vector stores, hybrid search, and database systems
- Model evaluation pipelines and RL environments
- Backend systems and infrastructure design
- Applied AI research methodology
- Code generation and security domain knowledge (nice to have)
- Self-direction and ownership of ambiguous projects
Opens the official application on the employer’s site. No login required.
Corridor
Corridor builds an AI coding security platform that detects vulnerabilities in AI-generated code and helps developers safely leverage AI coding assistants. The company is hiring founding sales engineers, AI engineers, and security engineers to develop its product, drive enterprise sales, and strengthen security practices.
View all jobs at CorridorLikely interview questions
- Describe a time you turned a research prototype into a production system—what were the key challenges?
- How have you approached evaluating AI model performance on domain-specific tasks like code security?