AI Security Researcher / Research Engineer

AI Security Researcher / Research Engineer

Summary

We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent and chatbot, and help set Brave's direction on how we identify, measure, and reduce security risk across AI products.

Responsibilities

• Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration)

• Analyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models

• Develop and prototype security-focused training and fine-tuning techniques

• Augment web agents with security principles including information flow control, privilege control and contextual security

• Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements

• Help define a forward-looking security strategy and policy for building and responsibly releasing web agents—advocating for user protection

• You may be a good fit if you have

• Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails)

• Strong publication record in AI security, ML security, or closely related areas

• A track record of shipping products and features inside a fast-moving environment

• Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX

• Experience training, fine-tuning, and evaluating large language models

• Deep familiarity with large language models and web agents, how they work, and how they are trained

• Experience applying security principles (e.g., information flow control, access control/least privilege)

• Demonstrated success in bringing clarity and ownership to ambiguous technical problems

• A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience

• Skills That Will Set You Apart from the Competition

• Knowledge of AI Systems (pipelines, security evaluation, etc.)

• Open source projects on security/privacy

• Experience with confidential computing and ZKP/SMPC protocols

• Ph.D. in computer science from a top-tier school

• A strong publication record in premier systems, performance, or ML

• Work experience in industry is desirable

• Working at Brave - What we offer

• Ability to work at an exciting and well-funded international startup headquartered in San Francisco

• Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions

• Competitive compensation and plenty of room for personal growth

• Great international exposure and team atmosphere

• We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.

• Compensation: $122k - $144k estimated

• Location: Remote