{"schemaVersion":"jobsearcher.job.v1","id":"753949d601adf2c3fc71d5cb","url":"https://jobsearcher.com/jobs/753949d601adf2c3fc71d5cb","canonicalUrl":"https://jobsearcher.com/jobs/753949d601adf2c3fc71d5cb","title":"Machine Learning Engineer","description":"Machine Learning EngineerHelp build Nicely Co.'s trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight as Machine Learning Engineer, with meaningful ownership in an early-stage company.\r\nPosition overviewNicely Co. is seeking a Machine Learning Engineer to strengthen trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight. This role will turn company priorities into clear, dependable work while partnering directly with colleagues across functions.Nicely Co. is an early-stage company, so this position will help create the processes and internal systems behind the work, not merely inherit a mature playbook. The successful candidate will use sound judgment, communicate tradeoffs, and operate with appropriate autonomy.Responsibilities may evolve as the company grows. This is an opportunity to influence how the Data & Analytics function develops, establish useful standards, and leave behind systems that scale responsibly.\r\nResponsibilitiesOwn day-to-day work across trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.\r\nTranslate the priorities of the Machine Learning Engineer role into documented plans, decisions, and measurable outcomes.\r\nBuild lightweight, repeatable processes that fit an early-stage company and can mature over time.\r\nCollaborate across functions to resolve dependencies and deliver complete outcomes.\r\nIdentify risks early, recommend proportionate solutions, and escalate consequential decisions.\r\nMaintain accurate documentation and handle company, customer, and employee information responsibly.\r\nUse relevant evidence and feedback to improve quality, efficiency, and stakeholder experience.\r\nCommunicate progress, constraints, priorities, and results clearly to affected teammates.\r\nQualificationsDemonstrated capability relevant to trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.\r\nJudgment and ownership appropriate for the Machine Learning Engineer scope.\r\nStrong written and verbal communication with both specialists and cross-functional partners.\r\nAbility to organize ambiguous work, make progress independently, and document decisions.\r\nComfort building systems in an early-stage environment where priorities may evolve.\r\nCommitment to ethical conduct, confidentiality, security, accessibility, and inclusive collaboration.\r\nPreferred qualificationsExperience with modern methods and tools used in Data & Analytics.\r\nExperience in a startup, small business, or other resource-conscious environment.\r\nEvidence of improving a workflow, standard, product, service, or measurable outcome.\r\nRelevant education, certification, portfolio, or equivalent practical experience.\r\nFlexible work arrangements where applicable.\r\nOpportunity to help build an early-stage company.\r\nDirect impact on company growth and operating quality.\r\nCross-functional collaboration and professional development opportunities.\r\nSignificant ownership over assigned responsibilities.\r\nOpportunity for responsibilities to expand as the company grows.#J-18808-Ljbffr","company":"Nicely","rawCompany":"nicely","city":"Tulsa","state":"OK","isRemote":false,"isActive":false,"createdAt":"2026-10-05T01:39:18.024Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"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 Engineer","description":"Machine Learning EngineerHelp build Nicely Co.'s trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight as Machine Learning Engineer, with meaningful ownership in an early-stage company.\r\nPosition overviewNicely Co. is seeking a Machine Learning Engineer to strengthen trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight. This role will turn company priorities into clear, dependable work while partnering directly with colleagues across functions.Nicely Co. is an early-stage company, so this position will help create the processes and internal systems behind the work, not merely inherit a mature playbook. The successful candidate will use sound judgment, communicate tradeoffs, and operate with appropriate autonomy.Responsibilities may evolve as the company grows. This is an opportunity to influence how the Data & Analytics function develops, establish useful standards, and leave behind systems that scale responsibly.\r\nResponsibilitiesOwn day-to-day work across trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.\r\nTranslate the priorities of the Machine Learning Engineer role into documented plans, decisions, and measurable outcomes.\r\nBuild lightweight, repeatable processes that fit an early-stage company and can mature over time.\r\nCollaborate across functions to resolve dependencies and deliver complete outcomes.\r\nIdentify risks early, recommend proportionate solutions, and escalate consequential decisions.\r\nMaintain accurate documentation and handle company, customer, and employee information responsibly.\r\nUse relevant evidence and feedback to improve quality, efficiency, and stakeholder experience.\r\nCommunicate progress, constraints, priorities, and results clearly to affected teammates.\r\nQualificationsDemonstrated capability relevant to trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.\r\nJudgment and ownership appropriate for the Machine Learning Engineer scope.\r\nStrong written and verbal communication with both specialists and cross-functional partners.\r\nAbility to organize ambiguous work, make progress independently, and document decisions.\r\nComfort building systems in an early-stage environment where priorities may evolve.\r\nCommitment to ethical conduct, confidentiality, security, accessibility, and inclusive collaboration.\r\nPreferred qualificationsExperience with modern methods and tools used in Data & Analytics.\r\nExperience in a startup, small business, or other resource-conscious environment.\r\nEvidence of improving a workflow, standard, product, service, or measurable outcome.\r\nRelevant education, certification, portfolio, or equivalent practical experience.\r\nFlexible work arrangements where applicable.\r\nOpportunity to help build an early-stage company.\r\nDirect impact on company growth and operating quality.\r\nCross-functional collaboration and professional development opportunities.\r\nSignificant ownership over assigned responsibilities.\r\nOpportunity for responsibilities to expand as the company grows.#J-18808-Ljbffr","datePosted":"2026-10-05T01:39:18.024Z","dateModified":"2026-10-05T01:39:18.024Z","hiringOrganization":{"@type":"Organization","name":"Nicely","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tulsa","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"753949d601adf2c3fc71d5cb"},"url":"https://jobsearcher.com/jobs/753949d601adf2c3fc71d5cb"}}