{"schemaVersion":"jobsearcher.job.v1","id":"3a849b7dd2833fd61ee660bc","url":"https://jobsearcher.com/jobs/3a849b7dd2833fd61ee660bc","canonicalUrl":"https://jobsearcher.com/jobs/3a849b7dd2833fd61ee660bc","title":"AI/ML Engineer - Computer Vision","description":"AI/ML Engineer - Computer Vision\nAI/ML Engineer - Computer Vision\nRemote in US\nFull-Time\nAbout the Opportunity\nWe are a venture-backed technology company building AI-powered solutions that bring real-time intelligence to complex operational environments. Our team is leveraging machine learning and computer vision to solve challenging real-world problems at scale.\nWe are seeking a Mid-Level Machine Learning Engineer to join our growing team. In this role, you will help develop and deploy production-ready machine learning systems, working closely with engineers and domain experts to build solutions that directly impact customers and end users.\nThis is an excellent opportunity for an engineer who enjoys taking ownership of projects, working across the full machine learning lifecycle, and seeing their work deployed in real-world environments.\nResponsibilities\nDesign, train, and deploy machine learning and computer vision models for production applications\nDevelop solutions involving object detection, image classification, tracking, anomaly detection, and related technologies\nConduct experimentation and prototyping to improve model performance and accuracy\nOptimize models for scalability, reliability, and real-time inference\nBuild and maintain software pipelines that support model training, evaluation, and deployment\nCollaborate with software engineers, product teams, and customers to solve complex technical challenges\nTroubleshoot, debug, and improve machine learning systems in production environments\nStay current on emerging machine learning and computer vision technologies\nQualifications\n2+ years of professional experience in machine learning, computer vision, or related fields\nStrong programming skills in Python\nExperience with machine learning frameworks such as PyTorch, TensorFlow, OpenCV, YOLO, scikit-learn, or similar technologies\nExperience working with computer vision techniques including object detection, segmentation, classification, tracking, or image processing\nUnderstanding of supervised, unsupervised, and semi-supervised learning methods\nStrong debugging, optimization, and problem-solving skills\nExperience using Git and modern software development practices\nBachelor's degree in Computer Science, Engineering, Machine Learning, or a related field\nPreferred Qualifications\nMaster's degree or PhD in a related field\nExperience deploying machine learning models into production environments\nExperience with edge computing or real-time systems\nFamiliarity with anomaly detection, autoencoders, or traditional computer vision techniques\nExperience working with industrial, robotics, automation, or operational technology environments\nWhat We Offer\nCompetitive compensation and equity package\nOpportunity to work on challenging, real-world machine learning problems\nHigh-impact role with significant ownership and visibility\nCollaborative and mission-driven engineering culture\nHybrid work environment based in Cambridge, MA\nOpportunity to help shape the future direction of a rapidly growing company\nFor this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 07/27/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter . Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.","company":"Everforth","rawCompany":"everforth","city":"Somerville","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T15:56:38.498Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-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":"AI/ML Engineer - Computer Vision","description":"AI/ML Engineer - Computer Vision\nAI/ML Engineer - Computer Vision\nRemote in US\nFull-Time\nAbout the Opportunity\nWe are a venture-backed technology company building AI-powered solutions that bring real-time intelligence to complex operational environments. Our team is leveraging machine learning and computer vision to solve challenging real-world problems at scale.\nWe are seeking a Mid-Level Machine Learning Engineer to join our growing team. In this role, you will help develop and deploy production-ready machine learning systems, working closely with engineers and domain experts to build solutions that directly impact customers and end users.\nThis is an excellent opportunity for an engineer who enjoys taking ownership of projects, working across the full machine learning lifecycle, and seeing their work deployed in real-world environments.\nResponsibilities\nDesign, train, and deploy machine learning and computer vision models for production applications\nDevelop solutions involving object detection, image classification, tracking, anomaly detection, and related technologies\nConduct experimentation and prototyping to improve model performance and accuracy\nOptimize models for scalability, reliability, and real-time inference\nBuild and maintain software pipelines that support model training, evaluation, and deployment\nCollaborate with software engineers, product teams, and customers to solve complex technical challenges\nTroubleshoot, debug, and improve machine learning systems in production environments\nStay current on emerging machine learning and computer vision technologies\nQualifications\n2+ years of professional experience in machine learning, computer vision, or related fields\nStrong programming skills in Python\nExperience with machine learning frameworks such as PyTorch, TensorFlow, OpenCV, YOLO, scikit-learn, or similar technologies\nExperience working with computer vision techniques including object detection, segmentation, classification, tracking, or image processing\nUnderstanding of supervised, unsupervised, and semi-supervised learning methods\nStrong debugging, optimization, and problem-solving skills\nExperience using Git and modern software development practices\nBachelor's degree in Computer Science, Engineering, Machine Learning, or a related field\nPreferred Qualifications\nMaster's degree or PhD in a related field\nExperience deploying machine learning models into production environments\nExperience with edge computing or real-time systems\nFamiliarity with anomaly detection, autoencoders, or traditional computer vision techniques\nExperience working with industrial, robotics, automation, or operational technology environments\nWhat We Offer\nCompetitive compensation and equity package\nOpportunity to work on challenging, real-world machine learning problems\nHigh-impact role with significant ownership and visibility\nCollaborative and mission-driven engineering culture\nHybrid work environment based in Cambridge, MA\nOpportunity to help shape the future direction of a rapidly growing company\nFor this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 07/27/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter . Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.","datePosted":"2026-08-03T15:56:38.498Z","dateModified":"2026-08-03T15:56:38.498Z","hiringOrganization":{"@type":"Organization","name":"Everforth","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Somerville","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3a849b7dd2833fd61ee660bc"},"url":"https://jobsearcher.com/jobs/3a849b7dd2833fd61ee660bc"}}