{"schemaVersion":"jobsearcher.job.v1","id":"2b0aab37b5e20caeb8fff6c2","url":"https://jobsearcher.com/jobs/2b0aab37b5e20caeb8fff6c2","canonicalUrl":"https://jobsearcher.com/jobs/2b0aab37b5e20caeb8fff6c2","title":"Machine Learning Scientist","description":"Position Summary\nThe Machine Learning Scientist uses scientific, mathematical, and computational (software) skills to advance research and clinical (commercial) products for Epitel. This role is heavily involved with all machine learning and data science aspects of the company. This role is also involved with research and grant-funded aims.\nKey Responsibilities\nResearch, develop, and implement modern computational techniques for time-series analysis, including classical and neural network machine learning methods.\nDevelop and maintain scientific codebases in Python including data ingestion, processing, machine learning, post-processing, evaluation, and visualization.\nDevelop performant scientific software utilizing parallelism and capable of operating in distributed computing environments.\nEngineer data workflows for ML experiments that track data/feature/experiment versions with transparency.\nReport key findings in academic journals and at conferences.\nMinimum Required Qualifications\nEducation: Master’s degree in a computational science field (e.g., Computer Science, Machine Learning, Statistics, Computational Neuroscience)\nProgramming: Must be proficiently skilled in Python based scientific programming and machine learning - e.g., Scikit-Learn, Numpy, Pandas, SciPy, Tensorflow, Keras, PyTorch, etc.\nMathematics: Must be strong with foundational mathematics and statistics\nMachine Learning Techniques: Proficiency in modern ML architectures, unsupervised learning techniques, data modeling, ML OPs utilities.\nExperience: 4+ years relevant industry or related experience working specifically on ML development for time-series applications.\nOther: Must be able to travel to and participate in in-person scientific conferences\nPreferred Qualifications\nStrong preference for a candidate with experience in developing ML workflows for EEG analysis specifically or other neuro/bio/physiological time-series data.\nBackground in scientific software engineering and/or High-Performance Computing\nExperience working with TB-scale disaggregated datasets\nAWS / Data engineering experience\nPublication experience\n** Interested Applicants Can Apply at: https://forms.gle/mafrArsW6PhGpqGB7\nKey Competencies\nDivergent Thinking: the ability to come up with novel solutions to open-ended problems or identify new questions/new problems\nAn understanding of software design principles, including the ability to write flexible, interpretable code for use by other teammates\nMinimal Oversight - We are a small and growing company and this role will require one to work diligently without constant oversight. Open communication is critical.\nQMS - Must be able to document all aspects of the code-base and deployment in a clear and well-detailed manner.\nCompany & Culture\nEpitel is a venture-backed company empowering clinicians, patients, and caregivers who live with or care for neurological disorders. Epitel employs proprietary EEG wearables and powerful ML/AI to create a platform for brain diagnostics. Our system cuts the time to diagnose brain disorders from hours to minutes and solves critical care access issues. We’re building toward a continuous neurology care platform that will create novel biomarkers for neurological disorders. If you’re interested in a high-impact role at a neurology pioneer, this is it!\nBenefits\nRemote-friendly - we’re open to the best candidate anywhere in the US. To that end, we provide a stipend for a remote worksite of your choice (e.g., WeWork, Industrious) and WFH gear (e.g., keyboard, mouse, camera, etc.)\nEquity - every employee shares in Epitel’s success\nProfessional development allowance - we do better when you do better\nMedical/dental coverage - we pay 100% of premiums\nSimple IRA contribution\nUnlimited vacation - we also take typical US holidays\nPay: $130,000.00 - $180,000.00 per year\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nFlexible schedule\nHealth insurance\nHealth savings account\nPaid time off\nParental leave\nRetirement plan\nVision insurance\nPeople with a criminal record are encouraged to apply\nExperience:\ntime-series machine learning development: 3 years (Required)\nWork Location: Remote","company":"Epitel","rawCompany":"epitel","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-05T00:13:46.610Z","occupations":[{"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"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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 Scientist","description":"Position Summary\nThe Machine Learning Scientist uses scientific, mathematical, and computational (software) skills to advance research and clinical (commercial) products for Epitel. This role is heavily involved with all machine learning and data science aspects of the company. This role is also involved with research and grant-funded aims.\nKey Responsibilities\nResearch, develop, and implement modern computational techniques for time-series analysis, including classical and neural network machine learning methods.\nDevelop and maintain scientific codebases in Python including data ingestion, processing, machine learning, post-processing, evaluation, and visualization.\nDevelop performant scientific software utilizing parallelism and capable of operating in distributed computing environments.\nEngineer data workflows for ML experiments that track data/feature/experiment versions with transparency.\nReport key findings in academic journals and at conferences.\nMinimum Required Qualifications\nEducation: Master’s degree in a computational science field (e.g., Computer Science, Machine Learning, Statistics, Computational Neuroscience)\nProgramming: Must be proficiently skilled in Python based scientific programming and machine learning - e.g., Scikit-Learn, Numpy, Pandas, SciPy, Tensorflow, Keras, PyTorch, etc.\nMathematics: Must be strong with foundational mathematics and statistics\nMachine Learning Techniques: Proficiency in modern ML architectures, unsupervised learning techniques, data modeling, ML OPs utilities.\nExperience: 4+ years relevant industry or related experience working specifically on ML development for time-series applications.\nOther: Must be able to travel to and participate in in-person scientific conferences\nPreferred Qualifications\nStrong preference for a candidate with experience in developing ML workflows for EEG analysis specifically or other neuro/bio/physiological time-series data.\nBackground in scientific software engineering and/or High-Performance Computing\nExperience working with TB-scale disaggregated datasets\nAWS / Data engineering experience\nPublication experience\n** Interested Applicants Can Apply at: https://forms.gle/mafrArsW6PhGpqGB7\nKey Competencies\nDivergent Thinking: the ability to come up with novel solutions to open-ended problems or identify new questions/new problems\nAn understanding of software design principles, including the ability to write flexible, interpretable code for use by other teammates\nMinimal Oversight - We are a small and growing company and this role will require one to work diligently without constant oversight. Open communication is critical.\nQMS - Must be able to document all aspects of the code-base and deployment in a clear and well-detailed manner.\nCompany & Culture\nEpitel is a venture-backed company empowering clinicians, patients, and caregivers who live with or care for neurological disorders. Epitel employs proprietary EEG wearables and powerful ML/AI to create a platform for brain diagnostics. Our system cuts the time to diagnose brain disorders from hours to minutes and solves critical care access issues. We’re building toward a continuous neurology care platform that will create novel biomarkers for neurological disorders. If you’re interested in a high-impact role at a neurology pioneer, this is it!\nBenefits\nRemote-friendly - we’re open to the best candidate anywhere in the US. To that end, we provide a stipend for a remote worksite of your choice (e.g., WeWork, Industrious) and WFH gear (e.g., keyboard, mouse, camera, etc.)\nEquity - every employee shares in Epitel’s success\nProfessional development allowance - we do better when you do better\nMedical/dental coverage - we pay 100% of premiums\nSimple IRA contribution\nUnlimited vacation - we also take typical US holidays\nPay: $130,000.00 - $180,000.00 per year\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nFlexible schedule\nHealth insurance\nHealth savings account\nPaid time off\nParental leave\nRetirement plan\nVision insurance\nPeople with a criminal record are encouraged to apply\nExperience:\ntime-series machine learning development: 3 years (Required)\nWork Location: Remote","datePosted":"2026-08-05T00:13:46.610Z","dateModified":"2026-08-05T00:13:46.610Z","hiringOrganization":{"@type":"Organization","name":"Epitel","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2b0aab37b5e20caeb8fff6c2"},"url":"https://jobsearcher.com/jobs/2b0aab37b5e20caeb8fff6c2"}}