{"schemaVersion":"jobsearcher.job.v1","id":"06cf4f100b3591c0e92c56ad","url":"https://jobsearcher.com/jobs/06cf4f100b3591c0e92c56ad","canonicalUrl":"https://jobsearcher.com/jobs/06cf4f100b3591c0e92c56ad","title":"Software Engineer, Machine Learning (Systems)","description":"TL;DR — We’re building humanity’s defense layer for the AI age and are looking for an exceptional ML engineer to stabilize the system that turns raw signal into decisions — across device, cloud, and offline environments.\nIf you would have joined early Tesla to make Autopilot work in the real world and improve across the fleet — this is that role.\n\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.\n\nWhat makes this role special?\nFirst dedicated ML systems hire.\nYou’re the difference between a system that exists and one that works.\nMake the system reliable under pressure — data, pipelines, and decision logic.\nTake outputs from sensing systems and turn them into consistent, trusted decisions.\nDefine how inference works when inputs are incomplete, noisy, or conflicting.\nYour work is used in high-stakes environments where outputs must be trusted.\nGain pre-Series A ownership as one of the first 10 engineers.\n\nWhat we’re looking for...\n5–10 years building and operating production systems\nStrong system design across APIs, pipelines, and data storage\nDeployed ML / LLM systems in production and improved them via feedback loops\nStrong Python, plus Go/TypeScript (or similar)\nComfortable working across device and cloud environments.\nAble to debug production systems quickly and decisively.\nCommunicates clearly and operates independently.\nU.S. Person status required (may involve export-controlled data).\n\nBonus if you’ve...\nBuilt RF / BLE classification systems and models from zero.\nHandled streaming systems (Kafka, pub/sub).\nCreated LLM pipelines (prompting, retrieval, evaluation).\nDesigned for adversarial or security environments.\nBuilt systems that run on-device as well as in the cloud.\nThrived in early-stage startup environment.\n\nWhat you’ll do...\nOwn system behavior and data pipelines.\nDesign ingestion reasoning decision systems.\nImprove the decision layer for consistency and reliability.\nClose the loop from deployments system learning.\nEnsure system reliability across device, cloud, and partial connectivity.\nPartner with RF / hardware / field teams to deliver for elite users globally (~10–15% travel).\n\nHow we select...\nShort application\n20-minute intro call\nTechnical deep-dive\nPractical problem discussion\nReferences and offer\n\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.\n\nYou’ll join us on-site at our HQ in New York City with occasional domestic and global deployments.\nApply. Make history. Build humanity’s defense against machines.","company":"Sweep360","rawCompany":"sweep360","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-04-22T18:58:09.749Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Machine Learning (Systems)","description":"TL;DR — We’re building humanity’s defense layer for the AI age and are looking for an exceptional ML engineer to stabilize the system that turns raw signal into decisions — across device, cloud, and offline environments.\nIf you would have joined early Tesla to make Autopilot work in the real world and improve across the fleet — this is that role.\n\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.\n\nWhat makes this role special?\nFirst dedicated ML systems hire.\nYou’re the difference between a system that exists and one that works.\nMake the system reliable under pressure — data, pipelines, and decision logic.\nTake outputs from sensing systems and turn them into consistent, trusted decisions.\nDefine how inference works when inputs are incomplete, noisy, or conflicting.\nYour work is used in high-stakes environments where outputs must be trusted.\nGain pre-Series A ownership as one of the first 10 engineers.\n\nWhat we’re looking for...\n5–10 years building and operating production systems\nStrong system design across APIs, pipelines, and data storage\nDeployed ML / LLM systems in production and improved them via feedback loops\nStrong Python, plus Go/TypeScript (or similar)\nComfortable working across device and cloud environments.\nAble to debug production systems quickly and decisively.\nCommunicates clearly and operates independently.\nU.S. Person status required (may involve export-controlled data).\n\nBonus if you’ve...\nBuilt RF / BLE classification systems and models from zero.\nHandled streaming systems (Kafka, pub/sub).\nCreated LLM pipelines (prompting, retrieval, evaluation).\nDesigned for adversarial or security environments.\nBuilt systems that run on-device as well as in the cloud.\nThrived in early-stage startup environment.\n\nWhat you’ll do...\nOwn system behavior and data pipelines.\nDesign ingestion reasoning decision systems.\nImprove the decision layer for consistency and reliability.\nClose the loop from deployments system learning.\nEnsure system reliability across device, cloud, and partial connectivity.\nPartner with RF / hardware / field teams to deliver for elite users globally (~10–15% travel).\n\nHow we select...\nShort application\n20-minute intro call\nTechnical deep-dive\nPractical problem discussion\nReferences and offer\n\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.\n\nYou’ll join us on-site at our HQ in New York City with occasional domestic and global deployments.\nApply. Make history. Build humanity’s defense against machines.","datePosted":"2026-04-22T18:58:09.749Z","dateModified":"2026-04-22T18:58:09.749Z","hiringOrganization":{"@type":"Organization","name":"Sweep360","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"06cf4f100b3591c0e92c56ad"},"url":"https://jobsearcher.com/jobs/06cf4f100b3591c0e92c56ad"}}