Why This Role Stands Out
As an AI Security Researcher/Engineer at Haystack, you'll be at the forefront of securing cutting-edge AI systems, with opportunities to shape the future of AI safety and develop innovative security solutions. This hybrid role is perfect for a driven individual with a passion for AI security and a desire to make a significant impact in a reputable technology company. Embrace this chance to grow your expertise and contribute to responsible AI development.
Quick Overview
Job Description
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
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