Machine Learning Engineering Manager

7 days ago

Boston, Massachusetts, United States Xometry Full time
Job Description

Xometry, a leading digital marketplace for manufacturing, is seeking a highly skilled Machine Learning Engineering Manager to join our team. As a key member of our engineering organization, you will be responsible for leading the development of machine learning models and systems that drive business growth and innovation.

The ideal candidate will have a strong background in machine learning operations, infrastructure, and software engineering, with a minimum of 8+ years of experience in the industry. A proven track record of leading engineering teams to successful project outcomes is essential, as well as a strong understanding of machine learning frameworks, tools, and libraries.

Key Responsibilities:
  • Lead and Manage a Team of Machine Learning Engineers: Provide guidance on best practices in machine learning operations, infrastructure, and software engineering.
  • Develop Infrastructure for ML Model Training, Testing, and Deployment: Design, develop, and deploy machine learning models and systems that meet high standards of performance, scalability, and reliability.
  • Collaborate with Cross-Functional Teams: Work with data scientists, product managers, and other stakeholders to define project requirements and deliverables.
  • Develop and Maintain ML Ops Pipelines: Ensure efficient model training, deployment, and monitoring.
  • Implement and Manage Infrastructure for Large-Scale Data Processing, Model Training, and Inference: Stay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure.
  • Drive Continuous Improvement in Engineering Practices: Foster a culture of innovation, collaboration, and continuous learning within the engineering team.
Qualifications:
  • 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 Leadership or Management Role
  • Strong Understanding of Machine Learning Frameworks, Tools, and Libraries
  • 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 and Distributed Computing
  • Strong Problem-Solving Skills and Ability to Lead Teams in Troubleshooting Complex Technical Challenges
  • Excellent Communication and Interpersonal Skills
Preferred Qualifications:
  • Experience with Containerization Technologies
  • Knowledge of Big Data Technologies and Data Engineering Practices
  • Experience with CI/CD Pipelines and Automation Tools

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