{"id":117873,"url":"https://alion.io/job/fal-machine-learning-engineer-reliability","title":"Machine Learning Engineer, Reliability","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":87,"open_postings":22,"ghost_share":0,"stale_share":0.318,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Diffusion Models","optional":true},{"name":"Incident Management","optional":true},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-06-24T23:57:35Z","employer_posted_date":"2026-06-24","last_verified_at":"2026-10-17T17:45:19Z","board_verified":true,"closed_at":null,"days_open":114,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":114},"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:\nThis is a hybrid ML Engineering / Site Reliability Engineering role. You will own the reliability, security, and safety of fal's fleet of generative media model APIs, the production endpoints that thousands of developers and enterprises depend on every day. Your mission is simple to state and hard to do: keep a large, fast-moving fleet of image, video, and audio model APIs available, performant, secure, and safe at all times.\nYou understand both how generative models work and how production systems fail. You're as comfortable debugging a misbehaving diffusion pipeline as you are tracing a latency regression through an inference stack, and you treat model-specific failure modes; degraded output quality, drift, unsafe generations, abuse patterns; as first-class reliability concerns alongside uptime and latency.\nThis role will need to be based in India, Australia, or New Zealand\nWhat you'll do\nOwn availability, latency, and throughput SLOs across a large fleet of generative media model APIs serving production traffic at scale\n\nBuild the monitoring, alerting, and observability needed to catch ML-specific failures, output quality degradation, pipeline breakage, model regressions before customers do\n\nHarden model deployment workflows with canary releases, shadow testing, automated rollbacks, and validation gates so new model versions ship safely\n\nDrive the security posture of the model fleet: secure model serving, abuse and misuse detection, rate limiting, and protection against adversarial usage patterns\n\nOperationalize safety systems for generative media, content moderation pipelines, safety classifiers, and guardrails that run reliably at inference time without compromising performance\n\nLead incident response for model API outages and degradations, run postmortems, and drive the engineering work that prevents recurrence\n\nImprove capacity planning, autoscaling, and GPU fleet efficiency for inference workloads under highly variable traffic\n\nPartner with model and infrastructure teams to make reliability, security, and safety requirements part of how new models get onboarded to the platform\n\nYou will have access to our massive GPU cluster for inference and evaluation\n\nQualifications/Nice to have:\n5+ years of professional experience, with 2 year experience operating production ML or high-scale API systems, ideally with on-call ownership\n\nExperience working with and supporting diffusion models in production\n\nStrong systems fundamentals: distributed systems, networking, observability, and incident management\n\nWorking knowledge of modern generative models (diffusion, transformers) and their failure modes in production\n\nFamiliarity with security and safety practices for ML systems ,abuse prevention, content safety, or trust & safety engineering experience is a strong plus\n\nA bias toward automation, measurement, and blameless postmortems\n\nCore 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 reliability\n\nWhat we offer at fal\nInteresting and challenging work\n\nCompetitive salary and equity\n\nA lot of learning and growth opportunities\n\nRegular team events and offsites\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":4313,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Growth opportunities"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"},{"name":"Australia","iso":"AU","kind":"country"},{"name":"New Zealand","iso":"NZ","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Generative Image","Generative Video","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-06-24T23:57:35Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.823,"p_room":0.36,"age_days":114,"expected_fill_days":65,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/fal-machine-learning-engineer-reliability","json_url":"https://alion.io/job/fal-machine-learning-engineer-reliability.json","meta":{"generated_at":"2026-10-17T19:43:13Z","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":3201,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":44380},"rest":"https://alion.io/mcp/rest/get_company?id=44380"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffal-machine-learning-engineer-reliability"},{"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%2Ffal-machine-learning-engineer-reliability"},{"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%2Ffal-machine-learning-engineer-reliability"},{"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/fal-machine-learning-engineer-reliability\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffal-machine-learning-engineer-reliability"}]}