{"id":1453619,"url":"https://alion.io/job/sash-research-engineer-ai-verification","title":"Research Engineer - AI Verification","company":{"id":1896857,"name":"SASH","domain":"aisafety.sg","url":"https://alion.io/company/aisafety-sg","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore","London, United Kingdom","San Francisco, United States"],"countries":["SG","GB","US"],"hiring_countries":["GB","SG"],"hiring_countries_total":2,"salary":{"min":90000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-08-14T19:16:42Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-09-30T17:37:16Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"About the team\nThe world is waking up to the fact that we will need ways to verify what's happening inside datacenters running large AI models - to enable international agreements, protect middle-power sovereignty, and facilitate trustworthy adoption of AI in high-stakes industries. But, for this to be trusted, it can't just be developed in a few countries.\nSingapore AI Safety Hub is launching the first international collaboration aimed at changing that. Our Verification team builds prototypes of these tools in public to speed up the development and adoption of globally trusted verification mechanisms.\nWe're building tools that will translate into policy change in the real world because our team is doing more than just building. Our team is demonstrating these tools to policymakers globally, helping roadmap the path to production-scale verification mechanisms, and broadening the base of independent experts who can evaluate these tools.\nOur partners include experts from the Future of Life Institute, University of Oxford, and more. Our core team has experience at Oxford, ByteDance, Centre for the Governance of AI, and Singapore Government. Our collaborators have worked with Arm and Intel.\nJust this summer, we’ve presented our work at the AI Security Forum (Washington D.C.), ICML (Seoul), Australia AI Safety Forum (Sydney), and World AI Conference (Shanghai). Read more about the responsehere.\nWhy Join SASH\nAI verification is still a young and highly talent-constrained field, while the need for credible mechanisms to support international coordination around advanced AI is becoming increasingly prominent, including in initiatives likePacing the Frontier.\nJoining SASH now means working on technical problems where the solution space is still open, with significant room to explore approaches, build prototypes, and influence what gets developed, what the team builds, and how this emerging field connects to real-world AI governance. Scenarios likeAI 2040 illustrate the role technical verification mechanisms could eventually play in making international AI agreements credible in practice.\nSASH is a young, fast-moving organization where finding opportunities and making things happen is the norm. You'll have substantial autonomy to build around promising ideas rather than inherit a mature roadmap, while working with an international network of technical experts and policymakers.\nYour Work\nAs a Research Engineer, you'll help turn emerging ideas in AI verification into practical technical prototypes. We're seeing more interest in our prototypes than we currently have capacity to pursue, so additional engineering capacity will directly expand the mechanisms and approaches we're able to explore.\nAI verification is still an open technical problem. Mechanisms need to be robust to attempts to evade them, privacy-preserving enough to be deployable, and auditable enough to earn the trust of governments and other stakeholders. Solving these problems can draw on ML engineering, cybersecurity, cryptography, hardware, and systems engineering.\nOur current project involves distinguishing between inference and training workloads on GPUs. Future projects could include scaling zero-knowledge proofs of AI inference and developing privacy-preserving approaches to white-box evaluations.\nIn this role, you would:\nBuild prototypes supporting AI verification.\n\nSupport technical communications.\n\nCollaborate with external experts.\n\nWork across: ML engineering, inference pipelines, algorithms, frontend demos, and cybersecurity.\n\nAbout You\nEssentials\nStrong ML engineering fundamentals.\n\nFamiliarity with AI verification, cybersecurity and/or confidential computing.\n\nComfortable in ambiguous early-stage environments.\n\nNice to Have\nAI hardware engineering.\n\nConfidential computing.\n\nCybersecurity instrumentation.\n\nStartup experience.\n\nInterest or experience working with Singaporean or Chinese stakeholders.\n\nRole Logistics & Benefits\nLocation:\nThis is a remote role that can be based in Singapore, the UK, or remotely.\n\nFor candidates interested in relocating, SASH can provide visa sponsorship in the UK.\n\nOur team is globally distributed, so remote team members should be comfortable maintaining some working-hour overlap with colleagues across regions.\n\nCompensation:\nOur compensation takes location, experience, and level into account, with indicative salary ranges of $120,000-$200,000+. We may offer above this range for exceptional candidates.\nBenefits:\nCompetitive benefits and leave policies.","description_format":"text","description_chars":4529,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Security","Cybersecurity AI","AI Safety & Alignment"],"lifecycle":[{"event":"open","at":"2026-09-29T08:47:08Z"}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.434,"p_room":0.35,"age_days":46,"expected_fill_days":19,"reasons":["conf:20","win:tail"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":false},"html_url":"https://alion.io/job/sash-research-engineer-ai-verification","json_url":"https://alion.io/job/sash-research-engineer-ai-verification.json","meta":{"generated_at":"2026-10-01T00:50:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":584,"day_limit":5000,"remaining_today":4416,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}