{"schemaVersion":"jobsearcher.job.v1","id":"8e167d063060b162d2f4b3cc","url":"https://jobsearcher.com/jobs/8e167d063060b162d2f4b3cc","canonicalUrl":"https://jobsearcher.com/jobs/8e167d063060b162d2f4b3cc","title":"Senior Software Engineer, Video Analytics","description":"Our client is looking for a hands-on Senior Backend Engineer with experience building and shipping machine learning or computer vision systems into real-world production environments. This role is ideal for an engineer who combines strong backend development skills with practical experience deploying computer vision solutions, whether on edge devices or in the cloud.\n\nThe ideal candidate has worked as an individual contributor at a Series A–D startup, has production experience with Elixir or another functional programming language, and can take ownership of complex technical challenges in a fast-paced environment.\n\nKey Responsibilities\n\nDesign, build, and maintain scalable backend systems using Elixir and Python.\n\nDevelop and support production systems that integrate machine learning or computer vision capabilities.\n\nBuild and maintain infrastructure for real-world applications such as object detection, people or vehicle detection, cross-camera tracking, and video analytics.\n\nCollaborate with engineering and product teams to bring ML/CV capabilities into reliable production environments.\n\nOwn technical decisions, implementation, testing, and deployment as a hands-on individual contributor.\n\nTroubleshoot performance, reliability, and scalability challenges across backend and ML-enabled systems.\n\nRequirements\n\nProduction ML/CV Experience: Proven experience shipping at least one machine learning or computer vision system into a real-world production environment, either on edge devices or in the cloud. Relevant examples include people detection, vehicle detection, cross-camera tracking, and video analytics.\nStartup Experience: At least 4 years of experience as a hands-on individual contributor backend engineer at a Series A–D startup, as a full-time employee.\nFunctional Programming: Production experience with Elixir or another functional programming language, such as Scala, Haskell, Clojure, OCaml, F#, or Erlang.\nBackend Engineering: Strong backend development experience, with the ability to design, build, and maintain production-grade systems.\nTechnical Ownership: Comfortable working independently, solving complex engineering problems, and contributing directly to code.\nLocation and Work Authorization: Must currently reside in the United States and be either a US citizen or Green Card holder. Visa-based work authorization is not eligible.\n\nCandidate Profile & Role Alignment\n\nCandidates must demonstrate a combination of real-world production ML/CV deployment, hands-on backend engineering at a Series A–D startup, and functional programming experience. All three are essential.\n\nThe following backgrounds are not aligned with this position:\n\nPure AI researchers, PhD-focused research profiles, LLM-only experience, or candidates whose experience is primarily training models from scratch. These backgrounds do not substitute for shipping computer vision systems into production.\n\nElixir developers without demonstrated experience deploying an ML or computer vision system into production.\n\nConsultants, freelancers, former founders/CTOs, or candidates without the required full-time startup employee experience.\n\nCandidates whose experience is primarily in government, defense, or heavily regulated environments, including organizations such as Booz Allen Hamilton, Lockheed Martin, Anduril, Palantir, and Raytheon.\n\nCandidates from research-heavy autonomous vehicle teams, including Waymo and Zoox.\n\nManagers and executives who are no longer hands-on engineers.\n\nImportant: Production computer vision experience is a non-negotiable requirement. Strong Elixir experience alone is not sufficient.","company":"Zipdev","rawCompany":"zipdev","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-10T08:37:06.208Z","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":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Video Analytics","description":"Our client is looking for a hands-on Senior Backend Engineer with experience building and shipping machine learning or computer vision systems into real-world production environments. This role is ideal for an engineer who combines strong backend development skills with practical experience deploying computer vision solutions, whether on edge devices or in the cloud.\n\nThe ideal candidate has worked as an individual contributor at a Series A–D startup, has production experience with Elixir or another functional programming language, and can take ownership of complex technical challenges in a fast-paced environment.\n\nKey Responsibilities\n\nDesign, build, and maintain scalable backend systems using Elixir and Python.\n\nDevelop and support production systems that integrate machine learning or computer vision capabilities.\n\nBuild and maintain infrastructure for real-world applications such as object detection, people or vehicle detection, cross-camera tracking, and video analytics.\n\nCollaborate with engineering and product teams to bring ML/CV capabilities into reliable production environments.\n\nOwn technical decisions, implementation, testing, and deployment as a hands-on individual contributor.\n\nTroubleshoot performance, reliability, and scalability challenges across backend and ML-enabled systems.\n\nRequirements\n\nProduction ML/CV Experience: Proven experience shipping at least one machine learning or computer vision system into a real-world production environment, either on edge devices or in the cloud. Relevant examples include people detection, vehicle detection, cross-camera tracking, and video analytics.\nStartup Experience: At least 4 years of experience as a hands-on individual contributor backend engineer at a Series A–D startup, as a full-time employee.\nFunctional Programming: Production experience with Elixir or another functional programming language, such as Scala, Haskell, Clojure, OCaml, F#, or Erlang.\nBackend Engineering: Strong backend development experience, with the ability to design, build, and maintain production-grade systems.\nTechnical Ownership: Comfortable working independently, solving complex engineering problems, and contributing directly to code.\nLocation and Work Authorization: Must currently reside in the United States and be either a US citizen or Green Card holder. Visa-based work authorization is not eligible.\n\nCandidate Profile & Role Alignment\n\nCandidates must demonstrate a combination of real-world production ML/CV deployment, hands-on backend engineering at a Series A–D startup, and functional programming experience. All three are essential.\n\nThe following backgrounds are not aligned with this position:\n\nPure AI researchers, PhD-focused research profiles, LLM-only experience, or candidates whose experience is primarily training models from scratch. These backgrounds do not substitute for shipping computer vision systems into production.\n\nElixir developers without demonstrated experience deploying an ML or computer vision system into production.\n\nConsultants, freelancers, former founders/CTOs, or candidates without the required full-time startup employee experience.\n\nCandidates whose experience is primarily in government, defense, or heavily regulated environments, including organizations such as Booz Allen Hamilton, Lockheed Martin, Anduril, Palantir, and Raytheon.\n\nCandidates from research-heavy autonomous vehicle teams, including Waymo and Zoox.\n\nManagers and executives who are no longer hands-on engineers.\n\nImportant: Production computer vision experience is a non-negotiable requirement. Strong Elixir experience alone is not sufficient.","datePosted":"2026-11-10T08:37:06.208Z","dateModified":"2026-11-10T08:37:06.208Z","hiringOrganization":{"@type":"Organization","name":"Zipdev","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8e167d063060b162d2f4b3cc"},"url":"https://jobsearcher.com/jobs/8e167d063060b162d2f4b3cc"}}