{"id":1412994,"url":"https://alion.io/job/fal-machine-learning-engineer-safety","title":"Machine Learning Engineer, Safety","company":{"id":44380,"name":"Fal","domain":"fal.ai","url":"https://alion.io/company/fal","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":29,"ghost_share":0,"stale_share":0.448,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"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":"Machine Learning","optional":false},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-28T18:10:27Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-01T10:26:29Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.\nAs generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.\nAbout this role:\nfal is looking for a Machine Learning Engineer to own the ML and the ML infrastructure that power our safety systems end-to-end - from the models that detect harmful content and misuse to the pipelines and infrastructure that run them reliably at scale. This is a dedicated, hands-on engineering role sitting on the Trust & Safety team, working alongside our safety engineering function to keep detection capability ahead of a fast-growing platform with 1,000+ models.\nWhat you’ll do:\nDesign, build, and maintain the ML models and the ML infrastructure behind fal's safety and abuse-detection systems, end-to-end\n\nImprove the accuracy, coverage, latency, and scalability of detection pipelines across the platform\n\nPartner with Security and Infrastructure Engineering to integrate safety systems deeply into core platform infrastructure\n\nEvaluate and integrate third-party safety tooling and vendor models where it makes sense\n\nStay current with the ML safety/detection landscape and bring new techniques and infrastructure patterns into fal's stack\n\nYou will have access to our massive GPU cluster for inference and evaluation\n\nSome core technologies we use include Python, torch, diffusers, Kubernetes, and the fal Python SDK\n\nYou'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs - your job is to make sure that speed never comes at the cost of safety\n\nQualifications/Nice to have:\nPrior hands-on experience in trust & safety, content moderation, or abuse/detection systems - required\n\nStrong end-to-end engineering fundamentals - comfortable owning both the ML and the infrastructure that serves it in production\n\nComfortable owning ambiguous, high-stakes problems with limited precedent\n\nBased in San Francisco; fal works in-person, 5 days a week\n\nWhat we offer at fal:\nInteresting and challenging work\n\nCompetitive salary and equity\n\nA lot of learning and growth opportunities\n\nWe offer relocation assistance to San Francisco.\n\nHealth, dental, and vision insurance (US)\n\nRegular team events and offsite\n\nComp:\n180k - 250k + equity + comprehensive benefits package\n\nU.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:\nfal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.","description_format":"text","description_chars":3114,"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":["Equity","Growth opportunities","Relocation assistance","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Generative Image","Generative Video","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-28T19:38:59Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":45,"reasons":["conf:5","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/fal-machine-learning-engineer-safety","json_url":"https://alion.io/job/fal-machine-learning-engineer-safety.json","meta":{"generated_at":"2026-10-01T13:21:43Z","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":4965,"day_limit":5000,"remaining_today":35,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}