{"schemaVersion":"jobsearcher.job.v1","id":"fc8dbef450acefb9fa79deac","url":"https://jobsearcher.com/jobs/fc8dbef450acefb9fa79deac","canonicalUrl":"https://jobsearcher.com/jobs/fc8dbef450acefb9fa79deac","title":"Machine Learning Engineer (PyTorch)","description":"AfterQuery is sourcing ML, systems, and distributed systems engineers with deep, internals-level PyTorch experience — custom autograd, CUDA/tensor extensions, ATen-level work, and distributed training internals. This is a task-based role: complete up to 3 short PyTorch tasks, $150 per task, fully remote, ~2 hours active work per task, rolling onboarding starting next week.Why Apply$150 per task — complete up to 3 tasksFully remote, work on your own scheduleLow time commitment: ~2 hours active work per taskResponsibilitiesComplete up to 3 assigned technical tasks involving low-level PyTorch workEnsure code runs correctly through full runtime (including unattended/extended runtime)Complete tasks independently within a rolling onboarding scheduleRequired QualificationsFull-time professional or research experience with PyTorchDemonstrated experience with internals-level PyTorch work (custom autograd functions, tensor/CUDA extensions, or ATen-level work)Access to suitable hardware (GPU-enabled machine or cloud instance)Preferred QualificationsBackground in ML, systems engineering, or distributed systems engineeringExperience with distributed training internalsExperience with compiler/graph-level work or numerical/algorithmic runtime optimizationContributions to PyTorch or adjacent open-source librariesCompany DescriptionAfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.","company":"Afterquery Experts","rawCompany":"afterquery experts","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-13T09:16:20.642Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"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":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer (PyTorch)","description":"AfterQuery is sourcing ML, systems, and distributed systems engineers with deep, internals-level PyTorch experience — custom autograd, CUDA/tensor extensions, ATen-level work, and distributed training internals. This is a task-based role: complete up to 3 short PyTorch tasks, $150 per task, fully remote, ~2 hours active work per task, rolling onboarding starting next week.Why Apply$150 per task — complete up to 3 tasksFully remote, work on your own scheduleLow time commitment: ~2 hours active work per taskResponsibilitiesComplete up to 3 assigned technical tasks involving low-level PyTorch workEnsure code runs correctly through full runtime (including unattended/extended runtime)Complete tasks independently within a rolling onboarding scheduleRequired QualificationsFull-time professional or research experience with PyTorchDemonstrated experience with internals-level PyTorch work (custom autograd functions, tensor/CUDA extensions, or ATen-level work)Access to suitable hardware (GPU-enabled machine or cloud instance)Preferred QualificationsBackground in ML, systems engineering, or distributed systems engineeringExperience with distributed training internalsExperience with compiler/graph-level work or numerical/algorithmic runtime optimizationContributions to PyTorch or adjacent open-source librariesCompany DescriptionAfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.","datePosted":"2026-07-13T09:16:20.642Z","dateModified":"2026-07-13T09:16:20.642Z","hiringOrganization":{"@type":"Organization","name":"Afterquery Experts","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fc8dbef450acefb9fa79deac"},"url":"https://jobsearcher.com/jobs/fc8dbef450acefb9fa79deac"}}