{"schemaVersion":"jobsearcher.job.v1","id":"d8b6c8aa33a975474d45ede6","url":"https://jobsearcher.com/jobs/d8b6c8aa33a975474d45ede6","canonicalUrl":"https://jobsearcher.com/jobs/d8b6c8aa33a975474d45ede6","title":"GPU Kernel and ML Systems Researcher (Research Coding Tasks)","description":"Paid, remote contract work with AfterQuery, building and reviewing technical tasks that help test AI models in ML systems and GPU kernels. For PhD-level researchers and research engineers who publish and ship code. Domain: ML Systems and GPU Kernels (CUDA, Triton and CUTLASS kernels, inference serving and ML compilers) RequirementsExperience: published research with released code in ML systems and GPU kernels Education: PhD in CS or a related field, completed or in progressThe work Hands-on research coding in your own area, close to the work you already do. Each task is self-contained, and the project lead walks you through the full scope and a worked example once you're onboarded. Work is asynchronous, so you can fit it around your own research. Pay $200 per approved task, about 4 hours each ($50/hr equivalent). Application process Candidates who meet the requirements and provide the requested materials will be prioritised for review. As part of this process we conduct thorough background checks. Please apply only if you meet these requirements.ResponsibilitiesBuild technical research coding tasks in ML systems and GPU kernelsReview and give feedback on AI model outputs in your areaWork with the project lead to keep tasks at research qualityRequired QualificationsPublished research at venues such as MLSys, OSDI, SOSP, PPoPP or SC, or comparableReleased research code (GitHub or artifact link)PhD in computer science or a related field, completed or in progressMeets the experience and education bar described in Full DescriptionPreferred QualificationsFirst-author publications in your areaComfortable with Docker and reproducible research environmentsDepth in CUDA, Triton and CUTLASS kernels, inference serving and ML compilersWhy applyHands-on research coding in your own fieldFully remote, asynchronous and flexible$200 per approved task, about 4 hours each","company":"Afterquery","rawCompany":"afterquery","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-12T09:29:52.181Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GPU Kernel and ML Systems Researcher (Research Coding Tasks)","description":"Paid, remote contract work with AfterQuery, building and reviewing technical tasks that help test AI models in ML systems and GPU kernels. For PhD-level researchers and research engineers who publish and ship code. Domain: ML Systems and GPU Kernels (CUDA, Triton and CUTLASS kernels, inference serving and ML compilers) RequirementsExperience: published research with released code in ML systems and GPU kernels Education: PhD in CS or a related field, completed or in progressThe work Hands-on research coding in your own area, close to the work you already do. Each task is self-contained, and the project lead walks you through the full scope and a worked example once you're onboarded. Work is asynchronous, so you can fit it around your own research. Pay $200 per approved task, about 4 hours each ($50/hr equivalent). Application process Candidates who meet the requirements and provide the requested materials will be prioritised for review. As part of this process we conduct thorough background checks. Please apply only if you meet these requirements.ResponsibilitiesBuild technical research coding tasks in ML systems and GPU kernelsReview and give feedback on AI model outputs in your areaWork with the project lead to keep tasks at research qualityRequired QualificationsPublished research at venues such as MLSys, OSDI, SOSP, PPoPP or SC, or comparableReleased research code (GitHub or artifact link)PhD in computer science or a related field, completed or in progressMeets the experience and education bar described in Full DescriptionPreferred QualificationsFirst-author publications in your areaComfortable with Docker and reproducible research environmentsDepth in CUDA, Triton and CUTLASS kernels, inference serving and ML compilersWhy applyHands-on research coding in your own fieldFully remote, asynchronous and flexible$200 per approved task, about 4 hours each","datePosted":"2026-11-12T09:29:52.181Z","dateModified":"2026-11-12T09:29:52.181Z","hiringOrganization":{"@type":"Organization","name":"Afterquery","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d8b6c8aa33a975474d45ede6"},"url":"https://jobsearcher.com/jobs/d8b6c8aa33a975474d45ede6"}}