Our company

  • Brave
  • privacy-focused web browser company

Your position

  • Design and execute adversarial evaluations of LLM-powered web agents and chatbots to uncover failure modes (prompt injection, tool abuse, data exfiltration)
  • Analyze model behavior (including internal thoughts) to forecast security risks in frontier models
  • Develop and prototype security-focused training/fine-tuning techniques
  • Augment web agents with security principles (information flow control, privilege control, contextual security)
  • Partner with engineers and privacy/ML/cryptographic researchers to translate findings into product changes, tests, and measurable security improvements

Requirements

  • Demonstrated experience in Secure AI (prompt injection defenses and security guardrails)
  • Strong publication record in AI/ML security or related areas
  • Track record of shipping products/features in fast-moving environments
  • Strong Python skills and familiarity with ML frameworks (PyTorch or JAX)
  • Experience training, fine-tuning, and evaluating large language models (LLMs)

Compensation & benefits

  • Remote or hybrid work; London preferred but North America, EU, UK accepted
  • Competitive compensation and room for personal growth
  • Exciting, well-funded international startup with international exposure
  • No agencies or recruiters accepted