{"schemaVersion":"jobsearcher.job.v1","id":"e8ce6b49e5b134455715845c","url":"https://jobsearcher.com/jobs/e8ce6b49e5b134455715845c","canonicalUrl":"https://jobsearcher.com/jobs/e8ce6b49e5b134455715845c","title":"Forward Deployed Engineer (Machine Learning)","description":"The Role\nOur client is building vision agents for large venues such as hotels and casinos— powering real-time video analytics and intelligent surveillance across hundreds of camera streams. Our systems run on‑prem in some of the largest resorts in Las Vegas, and many more in the pipeline.\n\nWe’re looking for a Forward Deployed ML Engineer who blends strong technical ML/CV ability with comfort deploying systems in the field. You will own our real‑time vision pipelines end‑to‑end and be the technical face of the client’s inside casinos. This role is not a back‑office research job.\n\nYou will:\n\nShip models into production\n\nDebug production pipelines at client sites\n\nBuild new ML features ranging from classical ML, computer vision and LLMs\n\nWork hands‑on with GPU servers & multi‑camera systems\n\nCollaborate with customer surveillance teams and distribution partners\n\nWhat You’ll Do\n\nTrain, tune, and update/deploy deep learning models at client sites\n\nMaintain low‑latency inference pipelines on‑premise using PyTorch, ONNX, and TensorRT and Triton\n\nBuild training data processing pipelines, QA/QC labeling and coordinate work with our labeling teams\n\nWork closely with customers and with the product manager to experiment and ship new features\n\nQualifications\n\n2-3 years of experience in machine learning with strong knowledge about not just deep learning but also classical ML (You’re an ML engineer first — someone who can train models, tune them, debug them in the wild, and build the software around them to make them production‑ready).\n\nStrong skills in Linux, Docker, and shipping models as services\n\nComfortable working in live production environments with minimal supervision\n\nA startup mindset — resourceful, adaptable, and excited to work across ML, backend, and DevOps boundaries\n\nNice to Have\n\nExperience with GStreamer, FFmpeg, or RTSP (or similar protocol) video pipelines\n\nExperience with Triton Server, model optimization using TensorRT and other deep learning acceleration frameworks\n\nBenefits\n\nWork remotely Monday - Friday, 40 hours a week (no weekends)\n\nVacation: 10 business days a year\n\nHolidays: 5 National Holidays a year\n\nCompany Holidays: 5 Company Holidays a year (Christmas Eve, Christmas Day, New Year's Eve, New Year's Day, Zipdev Day)\n\nParental Leave\n\nHealth Care Reimbursement\n\nActive Lifestyle Reimbursement\n\nQuarterly Home Office Reimbursementi>\n\nPayroll Deduction Purchase Plans\n\nLongevity Bonus\n\nContinuous Learning Bonus\n\nAccess to Training and Professional Development Platforms\n\nDid we mention it's REMOTE?\n\n#J-18808-Ljbffr","company":"Zipdev","rawCompany":"zipdev","city":"Las Vegas","state":"NV","isRemote":false,"isActive":false,"createdAt":"2026-06-17T03:31:45.576Z","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":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"721120","title":"Casino Hotels","slug":"casino-hotels"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"713210","title":"Casinos (except Casino Hotels)","slug":"casinos-except-casino-hotels"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer (Machine Learning)","description":"The Role\nOur client is building vision agents for large venues such as hotels and casinos— powering real-time video analytics and intelligent surveillance across hundreds of camera streams. Our systems run on‑prem in some of the largest resorts in Las Vegas, and many more in the pipeline.\n\nWe’re looking for a Forward Deployed ML Engineer who blends strong technical ML/CV ability with comfort deploying systems in the field. You will own our real‑time vision pipelines end‑to‑end and be the technical face of the client’s inside casinos. This role is not a back‑office research job.\n\nYou will:\n\nShip models into production\n\nDebug production pipelines at client sites\n\nBuild new ML features ranging from classical ML, computer vision and LLMs\n\nWork hands‑on with GPU servers & multi‑camera systems\n\nCollaborate with customer surveillance teams and distribution partners\n\nWhat You’ll Do\n\nTrain, tune, and update/deploy deep learning models at client sites\n\nMaintain low‑latency inference pipelines on‑premise using PyTorch, ONNX, and TensorRT and Triton\n\nBuild training data processing pipelines, QA/QC labeling and coordinate work with our labeling teams\n\nWork closely with customers and with the product manager to experiment and ship new features\n\nQualifications\n\n2-3 years of experience in machine learning with strong knowledge about not just deep learning but also classical ML (You’re an ML engineer first — someone who can train models, tune them, debug them in the wild, and build the software around them to make them production‑ready).\n\nStrong skills in Linux, Docker, and shipping models as services\n\nComfortable working in live production environments with minimal supervision\n\nA startup mindset — resourceful, adaptable, and excited to work across ML, backend, and DevOps boundaries\n\nNice to Have\n\nExperience with GStreamer, FFmpeg, or RTSP (or similar protocol) video pipelines\n\nExperience with Triton Server, model optimization using TensorRT and other deep learning acceleration frameworks\n\nBenefits\n\nWork remotely Monday - Friday, 40 hours a week (no weekends)\n\nVacation: 10 business days a year\n\nHolidays: 5 National Holidays a year\n\nCompany Holidays: 5 Company Holidays a year (Christmas Eve, Christmas Day, New Year's Eve, New Year's Day, Zipdev Day)\n\nParental Leave\n\nHealth Care Reimbursement\n\nActive Lifestyle Reimbursement\n\nQuarterly Home Office Reimbursementi>\n\nPayroll Deduction Purchase Plans\n\nLongevity Bonus\n\nContinuous Learning Bonus\n\nAccess to Training and Professional Development Platforms\n\nDid we mention it's REMOTE?\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T03:31:45.576Z","dateModified":"2026-06-17T03:31:45.576Z","hiringOrganization":{"@type":"Organization","name":"Zipdev","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Las Vegas","addressRegion":"NV","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e8ce6b49e5b134455715845c"},"url":"https://jobsearcher.com/jobs/e8ce6b49e5b134455715845c"}}