Brave
AI Security Researcher/Research Engineer

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AI Security Researcher / Research Engineer
Remote or hybrid - London preferred
About Brave:
Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month.
The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us!
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 (https://brave.com/blog/ai-browsing/) 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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.
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