{"id":1453616,"url":"https://alion.io/job/sash-lead-research-scientist","title":"Lead Research Scientist","company":{"id":1896857,"name":"Singapore AI Safety Hub","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":"lead","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":[],"countries":[],"hiring_countries":["SG"],"hiring_countries_total":1,"salary":{"min":200000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"EU AI Act","optional":false},{"name":"Machine Learning","optional":false},{"name":"NIST AI RMF","optional":false}],"status":"live","first_seen_at":"2026-09-01T19:30:11Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-14T21:46:49Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"About Neo Research\nNeo Research (新衡) is an independent AI safety research organization based in Singapore. We study frontier risks in increasingly capable AI systems, with a particular focus on the open-weight model ecosystem and the rapidly growing frontier-model ecosystem in Asia.\nSome of the world’s most capable open-weight models are now being developed in Asia and deployed globally. Yet, they remain poorly understood from a frontier-safety perspective. We want to understand how to ensure their safety, and what new risks become important as the frontier changes.\nOur current work focuses on misalignment, loss of control, and harmful manipulation. We study questions such as whether models pursue unintended objectives, conceal problematic behaviour, recognize and adapt to evaluations, evade oversight, or become less safe as they are given greater autonomy. Our goal is to produce rigorous empirical evidence about risks that are important but difficult to measure.\nWe are looking for a Lead Research Scientist to help determine what Neo should work on next, and to build the research programme needed to answer those questions. This is a role for someone who wants substantial ownership over both individual research projects and the direction of a growing research organization.\nWhy Join\nNeo is still early enough that our research agenda is malleable: You will have substantial influence over what we study, what standards of evidence we adopt, which projects we stop, and where we choose to make concentrated bets.\nYou will join a team of researchers and engineers, active projects underway, dedicated research budget and compute, and a growing network of external collaborators. Your central responsibility will be to identify the questions where Neo can make a distinctive contribution and build the research needed to answer them convincingly.\nThe role also comes with an unusual path from research to impact. We have presented our work to most major Chinese frontier-model developers and are running a joint evaluations project with an AI Safety Institute. The Lead Research Scientist will help deepen these relationships, while ensuring that Neo's public research is rigorous enough to shape how frontier risks are understood and evaluated internationally. Our mission statement covers the current research directions in more detail.\nWhat you’ll do\nSet and evolve Neo’s research agenda, deciding where our researchers, engineers, compute, and external collaborations can have the greatest impact.\n\nLead major research projects yourself, from problem selection and methodology through analysis and publication.\n\nDevelop rigorous approaches to studying difficult-to-observe frontier-model behaviours, including cases where models may recognize evaluations or have incentives to conceal relevant behaviour.\n\nGuide and mentor researchers, review experimental designs and results, and help maintain a high bar for evidence across Neo’s work.\n\nWork closely with research engineers to turn ambitious research questions into robust experimental systems.\n\nBuild collaborations with AI Safety Institutes, frontier labs, academics, and model developers, and represent Neo’s research externally.\n\nHelp recruit exceptional researchers and shape Neo’s research culture as the organization grows.\n\nWhat we’re looking for\nYou may be an established research leader, or an exceptional researcher ready for your first opportunity to lead a serious agenda. In either case, we care most about research judgment: the ability to recognise important questions, choose tractable approaches, and produce rigorous work.\nYou should have:\nA track record of original research in AI safety, model evaluations, machine learning, or a closely related field.\n\nStrong understanding of frontier-model behaviour and evaluation or elicitation methodology.\n\nThe ability to turn broad problems into concrete research programmes and published results.\n\nExcellent technical writing and the ability to communicate with researchers, engineers, and external partners.\n\nComfort operating in an early-stage environment where the important questions are not fully settled.\n\nA collaborative working style and willingness to stay hands-on.\n\nHelpful, but not required:\nA PhD or equivalent research output.\n\nResearch on dangerous capabilities, alignment, agentic systems, or model evaluations.\n\nExperience leading research projects or building a research function.\n\nFamiliarity with frontier safety reports, the EU AI Act, or NIST AI RMF.\n\nMandarin reading or writing ability.\n\nRole logistics & benefits\nLocation:\nThis role can be based in Singapore or remotely.\nOur team is globally distributed, so remote team members should be comfortable maintaining some working-hour overlap with colleagues across regions.\nCompensation:\nOur compensation takes location, experience, and level into account, with indicative salary ranges of $200,000 - $250,000+. We may offer above this range for exceptional candidates.\nBenefits:\nCompetitive benefits and leave policies.","description_format":"text","description_chars":5027,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Safety & Alignment","AI Governance & Compliance"],"lifecycle":[{"event":"open","at":"2026-09-29T08:47:08Z"}],"visa":[],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":1,"p_active":0.824,"p_room":0.55,"age_days":42,"expected_fill_days":39,"reasons":["conf:0","velocity","win:tail"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/sash-lead-research-scientist","json_url":"https://alion.io/job/sash-lead-research-scientist.json","meta":{"generated_at":"2026-10-15T01:24:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1808,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1896857},"rest":"https://alion.io/mcp/rest/get_company?id=1896857"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsash-lead-research-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsash-lead-research-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsash-lead-research-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sash-lead-research-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsash-lead-research-scientist"}]}