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Senior Manager, ML Engineering

Xometry

Salary not specified
Jun 10, 2025
Boston, MA, US
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Xometry is seeking to improve its pricing algorithms and manufacturing cost predictions by developing and deploying machine learning models.

Requirements

  • Strong understanding of machine learning frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Experience with ML Ops practices, including model versioning, continuous integration, and automated deployment.
  • Proficiency in software engineering practices, including object-oriented design, code versioning, and testing.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.
  • Experience with pricing algorithms
  • Experience with neural networks and deep learning
  • Experience with containerization technologies (e.g., Docker, Kubernetes)

Responsibilities

  • Lead the productionization of ML models and their deployment to quickly iterate on ML at the core of our business
  • Be hands-on in the design, development, and deployment of machine learning models and systems, ensuring they meet high standards of performance, scalability, and reliability.
  • Develop and maintain ML Ops pipelines, ensuring efficient model training, deployment, and monitoring.
  • Implement and manage infrastructure for large-scale data processing, model training, and inference.
  • Drive continuous improvement in engineering practices, including code quality, testing, and deployment automation.
  • Stay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure to inform team strategy and direction.
  • Manage project timelines, resources, and deliverables, ensuring projects are completed on time and within budget.

Other

  • Lead, mentor, and manage a team of machine learning engineers, providing guidance on best practices in ML Ops, infrastructure, and software engineering.
  • Collaborate with data scientists, product managers, software engineers, and other stakeholders to define project requirements and deliverables.
  • Foster a culture of innovation, collaboration, and continuous learning within the engineering team.
  • Must be a US Citizen or Green Card holder (ITAR)
  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
  • 8+ years of experience in software engineering, with a focus on machine learning, ML Ops, and infrastructure.
  • Minimum of 3 years of experience in a management role, with a proven track record of leading engineering teams to successful project outcomes.