{"id":772621,"url":"https://alion.io/job/sweep360-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":687189,"name":"Sweep360","domain":"sweep360.ai","url":"https://alion.io/company/sweep360","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Apache Kafka","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-08-06T00:00:00Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-10-28T08:44:19Z","board_verified":true,"closed_at":null,"days_open":83,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":83},"description":"TL;DR - We’re building humanity’s defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted operational decisions across device, cloud, and offline environments.\n\nIf you would have joined early Tesla to make Autopilot work in the real world and improve across the fleet or Figure AI before humanoids left the lab-to build the firmware that made them trustworthy, this is that role.\nWhy Sweep?\nAs intelligent machines proliferate into every part of the physical world, we humans still lack a defense layer to ensure the systems and devices we rely on remain aligned with us.\nWe’re building that layer today by deploying alongside the world’s highest-stakes teams - Olympic delegations, F1 paddocks, halftime shows, global tours, studio productions, senior government officials, and executive protection units. What we learn there becomes the foundation for a civilization-defining capability.\nWe’re a small, talent-dense team with high ownership, high velocity, and low ego. We care deeply, move fast, and are here to build something that outlasts us.\nTogether, we’ll redefine cyber-physical security for the AI age.\nWhat makes this role special?\nFirst dedicated AI systems hire.\nYou’re the difference between a system that exists and one that works.\nEnsure reliability of the entire AI system-from data ingestion to operator decision.\nTurn noisy cyber-physical observations into trusted operational decisions.\nDefine how the system reasons under uncertainty.\nYour work is used in high-stakes environments where outputs must be trusted.\nBecome the technical lead for Sweep’s AI decision system before Series A.\nWhat we’re looking for...\n5-10 years owning production systems end-to-end.\nStrong system design across APIs, pipelines, and data storage.\nBuilt production AI systems trusted in real-world operations.\nStrong Python, plus Go/TypeScript (or similar).\nComfortable building systems spanning edge devices, cloud, and intermittent connectivity.\nAble to debug production systems quickly and decisively.\nCommunicates clearly and operates independently. \nU.S. Person status required (may involve export-controlled data).\nBonus if you’ve...\nHandled streaming systems (Kafka, pub/sub).\nCreated production LLM or inference pipelines (prompting, retrieval, evaluation).\nDesigned for adversarial or security environments.\nBuilt systems that run on-device as well as in the cloud.\nThrived in an early-stage startup environment..\nWhat you’ll do...\nShape how the production AI system behaves in the real world.\nDesign ingestion → reasoning → decision systems.\nDrive inference reliability, predictable logic, and transparent reasoning.\nClose the loop from deployments → system learning.\nMake the system trusted under real-world conditions.\nPartner with RF / hardware / field teams to deliver for elite users globally (~10-15% travel).\nHow we select...\nShort application\n20-minute intro call\nTechnical deep-dive\nPractical problem discussion\nReferences and offer\nFinal facts.\nBase salary up to $240,000 depending on qualifications, experience, and impact. Total compensation includes equity, premium insurance, 401(k), flexible PTO, and other individual benefits.\nYou’ll join us on-site at our HQ in New York City with occasional domestic and global deployments.\nApply. Make history. 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