{"schemaVersion":"jobsearcher.job.v1","id":"2907d2c596e791277873cf6d","url":"https://jobsearcher.com/jobs/2907d2c596e791277873cf6d","canonicalUrl":"https://jobsearcher.com/jobs/2907d2c596e791277873cf6d","title":"Academic Content Developer (AI Optimization & Foundations)","description":"Jala University is an innovative initiative designed to bridge the gap between academia and industry by delivering practical education tailored to industry needs, with a unique educational model integrating experts from both academia and industry.\n\nOur goal is to transform the economies of underserved regions through the software industry, creating professional opportunities that impact individuals, communities, and regions, while leaving a lasting legacy for future generations\n\nRequirements\n\nMasters Degree in Computer Science or related\n5+ years shipping production software, including 2+ years in production AI/ML\nAble to implement optimizers from first principles (not by calling a framework's built-in optimizer) and instrument gradient flow, learning-rate schedules, and regularization diagnostics\nWorking fluency in probability and information theory (likelihood, entropy, KL divergence)\nAble to personally build a course artifact to production standard, including an instrumented optimizer and analytical brief\nHands-on with Python, NumPy, scikit-learn, PyTorch (basics through autograd/custom optimizer loops), Jupyter, Docker, one cloud VM (AWS/GCP/Azure), Weights & Biases, Modal (CPU + T4/A10), matplotlib\nPublic writing samples showing technical explanation (docs, workshop material, book chapter, or open-source project known for its docs), including ability to write to publication standard\nReproducibility discipline (pinned dependencies, containers, seeded runs, documented decoding parameters)\nProfessional written English\n\nBenefits\n\nRemote work modality (home office).\nJoining a dynamic and growing organization with international reach.","company":"Jalasoft","rawCompany":"jalasoft","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-21T11:03:34.176Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"}],"industries":[{"code":"611310","title":"Colleges, Universities, and Professional Schools","slug":"colleges-universities-and-professional-schools"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Academic Content Developer (AI Optimization & Foundations)","description":"Jala University is an innovative initiative designed to bridge the gap between academia and industry by delivering practical education tailored to industry needs, with a unique educational model integrating experts from both academia and industry.\n\nOur goal is to transform the economies of underserved regions through the software industry, creating professional opportunities that impact individuals, communities, and regions, while leaving a lasting legacy for future generations\n\nRequirements\n\nMasters Degree in Computer Science or related\n5+ years shipping production software, including 2+ years in production AI/ML\nAble to implement optimizers from first principles (not by calling a framework's built-in optimizer) and instrument gradient flow, learning-rate schedules, and regularization diagnostics\nWorking fluency in probability and information theory (likelihood, entropy, KL divergence)\nAble to personally build a course artifact to production standard, including an instrumented optimizer and analytical brief\nHands-on with Python, NumPy, scikit-learn, PyTorch (basics through autograd/custom optimizer loops), Jupyter, Docker, one cloud VM (AWS/GCP/Azure), Weights & Biases, Modal (CPU + T4/A10), matplotlib\nPublic writing samples showing technical explanation (docs, workshop material, book chapter, or open-source project known for its docs), including ability to write to publication standard\nReproducibility discipline (pinned dependencies, containers, seeded runs, documented decoding parameters)\nProfessional written English\n\nBenefits\n\nRemote work modality (home office).\nJoining a dynamic and growing organization with international reach.","datePosted":"2026-09-21T11:03:34.176Z","dateModified":"2026-09-21T11:03:34.176Z","hiringOrganization":{"@type":"Organization","name":"Jalasoft","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2907d2c596e791277873cf6d"},"url":"https://jobsearcher.com/jobs/2907d2c596e791277873cf6d"}}