{"schemaVersion":"jobsearcher.job.v1","id":"1f22da177f8afbbe43c2e155","url":"https://jobsearcher.com/jobs/1f22da177f8afbbe43c2e155","canonicalUrl":"https://jobsearcher.com/jobs/1f22da177f8afbbe43c2e155","title":"Senior Machine Learning Engineer","description":"Start your next chapter at Revecore! For over 25 years, we've been at the forefront of specialized claims management, helping healthcare providers serve more patients by helping them recover more revenue. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further.\nRevecore Perks:\nWe offer paid training and incentive plans\nOur medical, dental, vision, and life insurance benefits are available from the first day of employment\nWe enjoy excellent work/life balance\nOur Employee Resource Groups build community and foster a culture of belonging and inclusion\nWe match 401(k) contributions\nWe offer career growth opportunities\nWe celebrate 12 paid holidays and generous paid time off\nLocation: Remote – USA\nAs a Senior Machine Learning Engineer (individual contributor) at Revecore, you will:\nUse your expertise in machine learning, exploratory data analysis, and software engineering to enhance the productivity and efficiency of our underpayment business. You will work on projects with purpose, such as prioritizing claims based on expected recovery dollars and improving our claim-remit matching process.\nThis is a modeling team that owns the model deployment process. You won't be creating dashboards or pivot tables. You won't just build POCs. Our team increases revenue and decreases costs: you will deploy your work and see the results as we increase our client hospitals' revenue.\nThe Role:\nOwn end-to-end development, training, deployment, evaluation, and improvement of machine learning systems to rank claim opportunities.\nAnalyze and explore data to identify actionable opportunities from internal and 3rd party data.\nResearch, implement, and launch new model architectures that drive business impact.\nPartner and collaborate with cross-functional teams of software engineers, data engineers, subject matter experts, product managers, and analysts to design and build practical solutions.\nImplement cloud MLOps and AIOps best practices to streamline the development, deployment, and maintenance of machine learning models.\nContinuously measure the impact of the AI-enabled workflows on key business metrics and use these measurements to improve the machine learning models and workflows.\nLearn from and teach your teammates. You will be the team's expert in your specialization, and you will learn from experts in theirs.\nOwn a workstream. You'll be the technical lead for the workstream, partnering with others to deliver. You'll also work on other projects, but this workstream will be one of your key successes.\nYou'll be successful if you have:\nAn urge to question assumptions, and to get it right (or at least good enough) even if your first idea is wrong.\nA commitment to collaborate, rather than go off in a corner only to appear when you need to submit a pull request.\nA bachelor's degree in any data-centric field. Scientific thinking is a must.\nExperience working in a similar role, with a focus on machine learning or data science.\nExperience developing and deploying machine learning models in a production environment.\nStrong experience with Python, including scikit-learn. TensorFlow or PyTorch is a plus.\nAbility to wrangle data, perform exploratory data analysis, and draw insights from visualizations.\nIt would also be great if you have:\nIntuition about data developed by doing statistics and/or research.\nApplied experience with contemporary natural language processing (NLP) techniques and tools (e.g., entity extraction, transformers, Hugging Face).\nExperience with Spark.\nExperience with operating ML pipelines in a cloud platform (e.g., AWS, GCP, Azure).\nA master's degree, Ph.D., or other experience demonstrating scientific thinking.\nAs part of our team, you'll be rewarded with:\nComprehensive medical, dental, vision, and life insurance benefits from the start of your employment.\n12 paid holidays and flexible paid time off.401(k) contributions.\nEmployee Resource Groups that build community.\nCareer growth opportunities.\nAn excellent work/life balance.\nWork at Home Requirements:\nA quiet, distraction-free environment to work from in your home.\nA secure home internet connection with speeds >20 Mbps for downloads and >10 Mbps for uploads is required.\nThe workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.\nRevecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.\n\nWe believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.\nRevecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.\n\nWe believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.\nMust reside in the United States within one of the following states:\nAlabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, or West Virginia.","company":"Revecore","rawCompany":"revecore","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T17:42:29.380Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer","description":"Start your next chapter at Revecore! For over 25 years, we've been at the forefront of specialized claims management, helping healthcare providers serve more patients by helping them recover more revenue. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further.\nRevecore Perks:\nWe offer paid training and incentive plans\nOur medical, dental, vision, and life insurance benefits are available from the first day of employment\nWe enjoy excellent work/life balance\nOur Employee Resource Groups build community and foster a culture of belonging and inclusion\nWe match 401(k) contributions\nWe offer career growth opportunities\nWe celebrate 12 paid holidays and generous paid time off\nLocation: Remote – USA\nAs a Senior Machine Learning Engineer (individual contributor) at Revecore, you will:\nUse your expertise in machine learning, exploratory data analysis, and software engineering to enhance the productivity and efficiency of our underpayment business. You will work on projects with purpose, such as prioritizing claims based on expected recovery dollars and improving our claim-remit matching process.\nThis is a modeling team that owns the model deployment process. You won't be creating dashboards or pivot tables. You won't just build POCs. Our team increases revenue and decreases costs: you will deploy your work and see the results as we increase our client hospitals' revenue.\nThe Role:\nOwn end-to-end development, training, deployment, evaluation, and improvement of machine learning systems to rank claim opportunities.\nAnalyze and explore data to identify actionable opportunities from internal and 3rd party data.\nResearch, implement, and launch new model architectures that drive business impact.\nPartner and collaborate with cross-functional teams of software engineers, data engineers, subject matter experts, product managers, and analysts to design and build practical solutions.\nImplement cloud MLOps and AIOps best practices to streamline the development, deployment, and maintenance of machine learning models.\nContinuously measure the impact of the AI-enabled workflows on key business metrics and use these measurements to improve the machine learning models and workflows.\nLearn from and teach your teammates. You will be the team's expert in your specialization, and you will learn from experts in theirs.\nOwn a workstream. You'll be the technical lead for the workstream, partnering with others to deliver. You'll also work on other projects, but this workstream will be one of your key successes.\nYou'll be successful if you have:\nAn urge to question assumptions, and to get it right (or at least good enough) even if your first idea is wrong.\nA commitment to collaborate, rather than go off in a corner only to appear when you need to submit a pull request.\nA bachelor's degree in any data-centric field. Scientific thinking is a must.\nExperience working in a similar role, with a focus on machine learning or data science.\nExperience developing and deploying machine learning models in a production environment.\nStrong experience with Python, including scikit-learn. TensorFlow or PyTorch is a plus.\nAbility to wrangle data, perform exploratory data analysis, and draw insights from visualizations.\nIt would also be great if you have:\nIntuition about data developed by doing statistics and/or research.\nApplied experience with contemporary natural language processing (NLP) techniques and tools (e.g., entity extraction, transformers, Hugging Face).\nExperience with Spark.\nExperience with operating ML pipelines in a cloud platform (e.g., AWS, GCP, Azure).\nA master's degree, Ph.D., or other experience demonstrating scientific thinking.\nAs part of our team, you'll be rewarded with:\nComprehensive medical, dental, vision, and life insurance benefits from the start of your employment.\n12 paid holidays and flexible paid time off.401(k) contributions.\nEmployee Resource Groups that build community.\nCareer growth opportunities.\nAn excellent work/life balance.\nWork at Home Requirements:\nA quiet, distraction-free environment to work from in your home.\nA secure home internet connection with speeds >20 Mbps for downloads and >10 Mbps for uploads is required.\nThe workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.\nRevecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.\n\nWe believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.\nRevecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.\n\nWe believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.\nMust reside in the United States within one of the following states:\nAlabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, or West Virginia.","datePosted":"2026-08-03T17:42:29.380Z","dateModified":"2026-08-03T17:42:29.380Z","hiringOrganization":{"@type":"Organization","name":"Revecore","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1f22da177f8afbbe43c2e155"},"url":"https://jobsearcher.com/jobs/1f22da177f8afbbe43c2e155"}}