{"id":3295125,"url":"https://alion.io/job/commonai-ai-security-researcher","title":"AI Security Researcher","company":{"id":38984,"name":"CommonAI","domain":"commonai.org","url":"https://alion.io/company/commonai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Security","role_family":"Security","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":143000,"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":"EU AI Act","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-26T21:34:12Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-01T08:13:34Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About CommonAI CIC\nCommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.\nWe are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.\nThe Opportunity\nWe are seeking an AI Security Researcher with the mindset of an attacker: someone who enjoys finding out how systems can be broken, misused or circumvented. Our research team works on reducing the complexity of large language models while retaining their performance.\nYou will support our High Assurance programme, which works on the accuracy, explainability and accountability of AI systems used in regulated environments such as financial services. You will track the research that matters to the programme, challenge its technical decisions, and help test whether the simpler, more interpretable models emerging from our frontier research are easier to audit in practice.\nWhat You'll Do\nTrack key research and developments relevant to the High Assurance programme, including attacks on AI models, defences against them, and the security of the systems that serve them.\nReport on what these developments mean for the programme and our Members, through written briefings and presentations.\nReview the programme's technical decisions and directions from an attacker's point of view, and propose stronger alternatives.\nThreat-model AI systems used in regulated settings, covering model weights, training data, inference serving, and the tools and agents built on them.\nRed-team the systems we build, within an agreed scope, and report findings through a clear disclosure process.\nHelp develop interpretability methods for the simpler models produced by our frontier research, and test their limits, for example by trying to hide behaviour the methods should detect.\nBuild internal expertise by sharing what you learn with colleagues and helping answer technical questions from our Members.\nRequirements\nProven experience in security research, offensive security or adversarial machine learning (e.g. red-teaming, penetration testing, vulnerability research, or attacks on ML models).\nA strong understanding of how modern AI systems work, including how large language models are trained, deployed and served.\nFamiliarity with attacks on AI systems (e.g. jailbreaks, prompt injection, data poisoning, backdoors, model extraction).\nStrong Python, and the ability to build your own tools and experiments.\nExcellent written communication: you can turn complex technical findings into clear briefings for technical and non-technical readers.\nThe judgement and confidence to challenge technical decisions constructively.\nA strong enthusiasm for using LLMs, coding assistants, and agents as core tools in your own software development process.\nWe also value:\nExperience with interpretability methods (e.g. probing, sparse autoencoders, circuit analysis), or a strong interest in learning them.\nExperience working on software systems that operate in highly regulated or high-assurance environments (e.g. financial services).\nAn understanding of the latest AI safety research and active involvement in that community.\nKnowledge of hardware and side-channel security (e.g. timing attacks, risks in shared GPU and inference infrastructure).\nFamiliarity with AI assurance standards and regulation (e.g. ISO/IEC 42001, NIST AI RMF, the EU AI Act).\nA public track record, such as published research, CVEs, conference talks, bug bounties or CTF results.\nA PhD in security, machine learning or a related field, or equivalent research experience.\nBenefits\nA collaborative and supportive work environment\nThe opportunity to have a high impact in a growing organisation\nCompetitive salary package and pension\nProfessional development opportunities\nNetworking opportunities with influential people from across the tech sector, financial services, and academia\nA vibrant office environment located a few minutes' walk away from Cambridge train station\nCommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.","description_format":"text","description_chars":4468,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Compute & Inference","High-Performance 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