Xometry
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Senior Manager, ML Engineering
role at
Xometry .
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting people with big ideas to manufacturers who can bring them to life. Our digital marketplace provides manufacturers with critical resources to grow their business and enables buyers at Fortune 1000 companies to access global manufacturing capacity.
We are seeking a highly skilled
Senior Manager of Machine Learning Engineering
with a strong background in ML model productionization. This role oversees ML Engineering efforts to productionize and deploy ML models that predict manufacturing costs and optimize pricing. This is central to our business with significant impact potential through solving complex technical challenges.
The ideal candidate will have at least 8+ years of industry experience, including a minimum of 3 years in a leadership role, with expertise in pricing algorithms and deep learning.
This position requires leadership and hands-on technical skills, managing a team of engineers while actively contributing to the design, development, and deployment of machine learning models and systems. Our teams are collaborative, cross-functional, and innovative.
Key Responsibilities:
Lead, mentor, and manage a team of machine learning engineers, guiding best practices in ML Ops, infrastructure, and software engineering.
Oversee the productionization of ML models and their deployment to enable rapid iteration at the core of our business.
Contribute hands-on to the design, development, and deployment of ML models, ensuring high performance, scalability, and reliability.
Collaborate with data scientists, product managers, software engineers, and stakeholders to define project requirements and deliverables.
Develop and maintain ML Ops pipelines for efficient model training, deployment, and monitoring.
Implement infrastructure for large-scale data processing, model training, and inference.
Promote continuous improvement in engineering practices, including code quality, testing, and automation.
Stay informed about latest trends and advancements in ML, software engineering, and cloud infrastructure to guide team strategy.
Manage project timelines, resources, and deliverables, ensuring timely and within-budget completion.
Foster a culture of innovation, collaboration, and continuous learning within the team.
Qualifications:
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field.
8+ years in software engineering focusing on machine learning, ML Ops, and infrastructure.
At least 3 years in a management role leading engineering teams successfully.
Strong knowledge of ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Experience with ML Ops practices, including model versioning, CI, and deployment automation.
Proficiency in software practices such as object-oriented design, version control, and testing.
Experience with cloud platforms (AWS, Google Cloud, Azure) and distributed computing.
Excellent problem-solving, communication, and interpersonal skills.
Ability to manage multiple projects and prioritize effectively.
Must be a US Citizen or Green Card holder (ITAR).
Preferred Qualifications:
Experience with pricing algorithms.
Experience with neural networks and deep learning.
Knowledge of containerization (Docker, Kubernetes).
Familiarity with big data technologies (Hadoop, Spark) and data engineering.
Experience with CI/CD tools (Jenkins, GitLab CI).
Xometry is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US roles, we participate in E-Verify and will verify employment eligibility.
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Senior Manager, ML Engineering
role at
Xometry .
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting people with big ideas to manufacturers who can bring them to life. Our digital marketplace provides manufacturers with critical resources to grow their business and enables buyers at Fortune 1000 companies to access global manufacturing capacity.
We are seeking a highly skilled
Senior Manager of Machine Learning Engineering
with a strong background in ML model productionization. This role oversees ML Engineering efforts to productionize and deploy ML models that predict manufacturing costs and optimize pricing. This is central to our business with significant impact potential through solving complex technical challenges.
The ideal candidate will have at least 8+ years of industry experience, including a minimum of 3 years in a leadership role, with expertise in pricing algorithms and deep learning.
This position requires leadership and hands-on technical skills, managing a team of engineers while actively contributing to the design, development, and deployment of machine learning models and systems. Our teams are collaborative, cross-functional, and innovative.
Key Responsibilities:
Lead, mentor, and manage a team of machine learning engineers, guiding best practices in ML Ops, infrastructure, and software engineering.
Oversee the productionization of ML models and their deployment to enable rapid iteration at the core of our business.
Contribute hands-on to the design, development, and deployment of ML models, ensuring high performance, scalability, and reliability.
Collaborate with data scientists, product managers, software engineers, and stakeholders to define project requirements and deliverables.
Develop and maintain ML Ops pipelines for efficient model training, deployment, and monitoring.
Implement infrastructure for large-scale data processing, model training, and inference.
Promote continuous improvement in engineering practices, including code quality, testing, and automation.
Stay informed about latest trends and advancements in ML, software engineering, and cloud infrastructure to guide team strategy.
Manage project timelines, resources, and deliverables, ensuring timely and within-budget completion.
Foster a culture of innovation, collaboration, and continuous learning within the team.
Qualifications:
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field.
8+ years in software engineering focusing on machine learning, ML Ops, and infrastructure.
At least 3 years in a management role leading engineering teams successfully.
Strong knowledge of ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Experience with ML Ops practices, including model versioning, CI, and deployment automation.
Proficiency in software practices such as object-oriented design, version control, and testing.
Experience with cloud platforms (AWS, Google Cloud, Azure) and distributed computing.
Excellent problem-solving, communication, and interpersonal skills.
Ability to manage multiple projects and prioritize effectively.
Must be a US Citizen or Green Card holder (ITAR).
Preferred Qualifications:
Experience with pricing algorithms.
Experience with neural networks and deep learning.
Knowledge of containerization (Docker, Kubernetes).
Familiarity with big data technologies (Hadoop, Spark) and data engineering.
Experience with CI/CD tools (Jenkins, GitLab CI).
Xometry is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US roles, we participate in E-Verify and will verify employment eligibility.
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