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Senior / Staff Applied-ML & LLM Security Engineer
Promptfoo (Headquarters: Remote (US time zones) / Hybrid San Mateo, CA)
Promptfoo is seeking a Senior or Staff Applied-ML and LLM Security Engineer to enhance our security capabilities and ensure our platform remains a trusted tool for developers. You will work on cutting-edge research and engineering to identify and mitigate vulnerabilities in LLM applications.
About Promptfoo: Our MIT-licensed toolkit helps developers evaluate, secure, and optimize their LLM applications. With a focus on enterprise-grade security, we provide features like automated vulnerability scanning and security-hardened templates. We are backed by top investors and operate with a team of experienced engineers and researchers.
Responsibilities:
- Design and implement security features for our LLM toolkit
- Conduct research on LLM vulnerabilities and mitigation strategies
- Collaborate with the engineering team to integrate security best practices
- Develop and maintain testing frameworks for security validation
- Stay current with industry advancements in AI security
- Troubleshoot and resolve complex security issues
- Mentor junior engineers on security best practices
Qualifications:
- 7+ years of experience in ML engineering or security research
- Strong background in machine learning and AI systems
- Expertise in LLM security and vulnerability assessment
- Experience with applied machine learning and security research
- Familiarity with statistical analysis and security modeling
- Excellent problem-solving skills and attention to detail
- Ability to work in a collaborative, fast-paced environment
We offer competitive salaries, equity opportunities, and the chance to work on pioneering research in AI security. If you’re passionate about making LLMs safer, we’d love to hear from you.