{"schemaVersion":"jobsearcher.job.v1","id":"9927d0abe06c4d2ebe68d1a9","url":"https://jobsearcher.com/jobs/9927d0abe06c4d2ebe68d1a9","canonicalUrl":"https://jobsearcher.com/jobs/9927d0abe06c4d2ebe68d1a9","title":"Senior Manager, Machine Learning Engineering","description":"Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.\nWe are seeking a highly skilled Machine Learning Engineering Manager with a strong background in ML Ops, infrastructure, and software engineering. The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 3 years in a leadership role. This position requires both leadership and hands-on technical expertise, managing a team of engineers while actively contributing to the design, development, and deployment of machine learning models and systems.\nKey Responsibilities:\nLead, mentor, and manage a team of machine learning engineers, providing guidance on best practices in ML Ops, infrastructure, and software engineering.\nLead development of infrastructure for ML model training, testing, and deployment.\nBe hands-on in the design, development, and deployment of machine learning models and systems, ensuring they meet high standards of performance, scalability, and reliability.\nCollaborate with data scientists, product managers, and other stakeholders to define project requirements and deliverables.\nDevelop and maintain ML Ops pipelines, ensuring efficient model training, deployment, and monitoring.\nImplement and manage infrastructure for large-scale data processing, model training, and inference.\nDrive continuous improvement in engineering practices, including code quality, testing, and deployment automation.\nStay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure to inform team strategy and direction.\nManage project timelines, resources, and deliverables, ensuring projects are completed on time and within budget.\nFoster a culture of innovation, collaboration, and continuous learning within the engineering team.\nQualifications:\nBachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.\n8+ years of experience in software engineering, with a focus on machine learning, ML Ops, and infrastructure.\nMinimum of 3 years of experience in a leadership or management role, with a proven track record of leading engineering teams to successful project outcomes.\nStrong understanding of machine learning frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).\nExperience with ML Ops practices, including model versioning, continuous integration, and automated deployment.\nProficiency in software engineering practices, including object-oriented design, code versioning, and testing.\nExperience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.\nStrong problem-solving skills, with the ability to lead teams in troubleshooting complex technical challenges.\nExcellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.\nDemonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively.\nPreferred Qualifications:\nExperience with containerization technologies (e.g., Docker, Kubernetes).\nKnowledge of big data technologies (e.g., Hadoop, Spark) and data engineering practices.\nExperience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).\n#LI-Remote\nHere at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.\nXometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.\nXometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.","company":"Xometry","rawCompany":"xometry","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:39:53.570Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Manager, Machine Learning Engineering","description":"Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.\nWe are seeking a highly skilled Machine Learning Engineering Manager with a strong background in ML Ops, infrastructure, and software engineering. The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 3 years in a leadership role. This position requires both leadership and hands-on technical expertise, managing a team of engineers while actively contributing to the design, development, and deployment of machine learning models and systems.\nKey Responsibilities:\nLead, mentor, and manage a team of machine learning engineers, providing guidance on best practices in ML Ops, infrastructure, and software engineering.\nLead development of infrastructure for ML model training, testing, and deployment.\nBe hands-on in the design, development, and deployment of machine learning models and systems, ensuring they meet high standards of performance, scalability, and reliability.\nCollaborate with data scientists, product managers, and other stakeholders to define project requirements and deliverables.\nDevelop and maintain ML Ops pipelines, ensuring efficient model training, deployment, and monitoring.\nImplement and manage infrastructure for large-scale data processing, model training, and inference.\nDrive continuous improvement in engineering practices, including code quality, testing, and deployment automation.\nStay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure to inform team strategy and direction.\nManage project timelines, resources, and deliverables, ensuring projects are completed on time and within budget.\nFoster a culture of innovation, collaboration, and continuous learning within the engineering team.\nQualifications:\nBachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.\n8+ years of experience in software engineering, with a focus on machine learning, ML Ops, and infrastructure.\nMinimum of 3 years of experience in a leadership or management role, with a proven track record of leading engineering teams to successful project outcomes.\nStrong understanding of machine learning frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).\nExperience with ML Ops practices, including model versioning, continuous integration, and automated deployment.\nProficiency in software engineering practices, including object-oriented design, code versioning, and testing.\nExperience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.\nStrong problem-solving skills, with the ability to lead teams in troubleshooting complex technical challenges.\nExcellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.\nDemonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively.\nPreferred Qualifications:\nExperience with containerization technologies (e.g., Docker, Kubernetes).\nKnowledge of big data technologies (e.g., Hadoop, Spark) and data engineering practices.\nExperience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).\n#LI-Remote\nHere at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.\nXometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.\nXometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.","datePosted":"2026-04-12T20:39:53.570Z","dateModified":"2026-04-12T20:39:53.570Z","hiringOrganization":{"@type":"Organization","name":"Xometry","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9927d0abe06c4d2ebe68d1a9"},"url":"https://jobsearcher.com/jobs/9927d0abe06c4d2ebe68d1a9"}}