{"schemaVersion":"jobsearcher.job.v1","id":"2309dc202d6a6c46a8dedc8b","url":"https://jobsearcher.com/jobs/2309dc202d6a6c46a8dedc8b","canonicalUrl":"https://jobsearcher.com/jobs/2309dc202d6a6c46a8dedc8b","title":"Machine Learning Research Engineer | Remote","description":"Computational Bayesian Statistics & Applied Mathematics Problem Designer Remote | HourlyContract | $70-$100/hr | 15 20 Hours per WeekQuick SnapshotDesign graduate-level computational problems evaluating advanced reasoning using Bayesian statistics and applied mathematics workflowsCreate benchmark tasks grounded in probabilistic modeling, numerical simulation, and scientific computationWork with tools such as PyMC, PyStan, PyJAGS, CmdStanPy, and numerical PDE frameworks like FEniCS, DOLFINx, FiPy, Devito, and DedalusWork remotely as an independent contractor on a flexible scheduleEarn $70-$100 per hour with opportunities for project extensions based on performance and calibration outcomesParticipate in iterative evaluation cycles against frontier model performanceReceive weekly payments through Stripe or WiseRequirementsDesign original computational problems requiring advanced use of Bayesian inference, probabilistic programming, or numerical applied mathematics toolsDevelop tasks involving MCMC methods, hierarchical Bayesian modeling, uncertainty quantification, or inference under noisy and partial observationsConstruct problems involving numerical PDE solving, finite element or finite difference methods, mesh-based modeling, or computational physics-style simulationsDemonstrate strong Python programming skills for building probabilistic models, simulation pipelines, oracle functions, and validation frameworksApply hands-on expertise with computational statistics or applied mathematics software through research, publications, or professional workWork independently in Linux-based environments and remote compute sandboxes while iterating on task design using calibration feedbackExperience with benchmark design, computational reproducibility, or advanced mathematical modeling frameworks is preferredEasy apply to proceed.","company":"Stem Sync Ai","rawCompany":"stem sync ai","isRemote":true,"isActive":false,"createdAt":"2026-06-17T04:22:23.189Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2021.00","title":"Mathematicians","slug":"mathematicians"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Research Engineer | Remote","description":"Computational Bayesian Statistics & Applied Mathematics Problem Designer Remote | HourlyContract | $70-$100/hr | 15 20 Hours per WeekQuick SnapshotDesign graduate-level computational problems evaluating advanced reasoning using Bayesian statistics and applied mathematics workflowsCreate benchmark tasks grounded in probabilistic modeling, numerical simulation, and scientific computationWork with tools such as PyMC, PyStan, PyJAGS, CmdStanPy, and numerical PDE frameworks like FEniCS, DOLFINx, FiPy, Devito, and DedalusWork remotely as an independent contractor on a flexible scheduleEarn $70-$100 per hour with opportunities for project extensions based on performance and calibration outcomesParticipate in iterative evaluation cycles against frontier model performanceReceive weekly payments through Stripe or WiseRequirementsDesign original computational problems requiring advanced use of Bayesian inference, probabilistic programming, or numerical applied mathematics toolsDevelop tasks involving MCMC methods, hierarchical Bayesian modeling, uncertainty quantification, or inference under noisy and partial observationsConstruct problems involving numerical PDE solving, finite element or finite difference methods, mesh-based modeling, or computational physics-style simulationsDemonstrate strong Python programming skills for building probabilistic models, simulation pipelines, oracle functions, and validation frameworksApply hands-on expertise with computational statistics or applied mathematics software through research, publications, or professional workWork independently in Linux-based environments and remote compute sandboxes while iterating on task design using calibration feedbackExperience with benchmark design, computational reproducibility, or advanced mathematical modeling frameworks is preferredEasy apply to proceed.","datePosted":"2026-06-17T04:22:23.189Z","dateModified":"2026-06-17T04:22:23.189Z","hiringOrganization":{"@type":"Organization","name":"Stem Sync Ai","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2309dc202d6a6c46a8dedc8b"},"url":"https://jobsearcher.com/jobs/2309dc202d6a6c46a8dedc8b"}}