{"id":2667110,"url":"https://alion.io/job/security-level-5-machine-learning-research-engineer","title":"Machine Learning Research Engineer","company":{"id":1874358,"name":"Security Level 5","domain":"sl5.org","url":"https://alion.io/company/sl5","size_band":null,"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":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Interpretability","optional":false}],"status":"live","first_seen_at":"2026-08-12T20:29:38Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-16T07:52:32Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"About Security Level 5\nSecurity Level 5 is a Bay Area AI security nonprofit working with AI labs and US intelligence agencies to defend frontier models from priority nation-state-level threats. We move fast, and we're tripling headcount this year.\nThe Mission\nWe're hiring for what's plausibly the most difficult, urgent, and interesting challenge in AI security engineering this decade (for humans, at least): designing and building the first datacenter purpose-built to Security Level 5, the standard for defending frontier AI labs against attackers with the resources of a nation-state and billion-dollar budgets. We're working on the first SL5 components this year and aiming for an at-scale SL5 datacenter build in 2027.\nWe wrote the first version of the standard with input from CISOs and senior security staff at the frontier labs, and US security and intelligence officials. Now we're designing the SL5 architectures purpose-built for frontier AI workloads, and standing up the reference tech stack to guide labs' buildouts. This stack has to hold against nation-states, not destroy researchers' productivity, not cost more than labs can pay, and ship in 2-3 years.\nWhat you'd work on\nDesigning experiments that measure the effect of SL5 controls on real ML research and engineering workflows.\n\nForecasting 2028 frontier workloads (training, inference, fine-tuning, interpretability) and the infrastructure they imply, so controls are evaluated against what labs will actually be doing.\n\nRunning the experiments at whatever scale is tractable and interpreting them for a frontier-scale audience.\n\nYou'd be a fit if you\nHave trained models at an AI lab or equivalent, and are current on frontier methods and infrastructure.\n\nAre comfortable across the training stack: multi-node jobs, accelerators, orchestration, storage, data pipelines.\n\nCan design an experiment that answers a question rather than one that produces a number.\n\nAre happy working at small scale as a proxy for frontier scale, and can reason about where the proxy breaks.\n\nLogistics\nBay Area, in-person. This role's base salary range is $200,000 - $350,000 USD per year. We may be open to paying exceptional and/or highly experienced employees more than this. 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