{"id":168834,"url":"https://alion.io/job/brave-ai-security-researcherresearch-engineer","title":"AI Security Researcher/Research Engineer","company":{"id":3473,"name":"Brave","domain":"brave.com","url":"https://alion.io/company/brave","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":95,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Security","role_family":"Security","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":163000,"period":"year","method":"role_country_seniority_unknown","sample_n":159},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Browser Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"JAX","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-08-29T16:52:15Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-29T15:26:40Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"AI Security Researcher / Research Engineer\nRemote or hybrid - London preferred but North America, EU, UK accepted\nAbout Brave:\nBrave 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.\nThe 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!\nSummary\nWe 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.\nResponsibilities \nDesign and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration)\nAnalyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models\nDevelop and prototype security-focused training and fine-tuning techniques \nAugment web agents with security principles including information flow control, privilege control and contextual security\nPartner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements\nHelp define a forward-looking security strategy and policy for building and responsibly releasing web agents-advocating for user protection\nYou may be a good fit if you have\nDemonstrated experience working on Secure AI (prompt injection attacks and security guardrails)\nStrong publication record in AI security, ML security, or closely related areas\nA track record of shipping products and features inside a fast-moving environment\nStrong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX\nExperience training, fine-tuning, and evaluating large language models\nDeep familiarity with large language models and web agents, how they work, and how they are trained\nExperience applying security principles (e.g., information flow control, access control/least privilege)\nDemonstrated success in bringing clarity and ownership to ambiguous technical problems\nA Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience\nSkills That Will Set You Apart from the Competition\nKnowledge of AI Systems (pipelines, security evaluation, etc.)\nOpen source projects on security/privacy\nExperience with confidential computing and ZKP/SMPC protocols\nPh.D. in computer science from a top-tier school\nA strong publication record in premier systems, performance, or ML \nWork experience in industry is desirable\nWorking at Brave - What we offer\nAbility to work at an exciting and well-funded international startup headquartered in San Francisco\nCutting-edge technology, allowing you to work with state-of-the-art tools and software solutions\nCompetitive compensation and plenty of room for personal growth\nGreat international exposure and team atmosphere\nWe are looking to hire in London but would consider an exceptional candidate in the rest of Europe. \nNO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these 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