Senior Manager, ML Engineering

Senior Manager, ML Engineering

Company: Xometry

Location: Remote (North America)

Employment Type: Full-time

Overview

Xometry is seeking a Senior Manager, ML Engineering to lead and scale our machine learning engineering efforts. In this role, you will lead a team of ML engineers and data scientists to design, build, and deploy production-grade ML systems that power Xometry's manufacturing platform. You will drive strategy, architecture, and best practices for ML, MLOps, and data-driven decision making across the organization. This is a remote-friendly opportunity with collaboration across global teams.

Responsibilities

• Lead and mentor a team of ML engineers and data scientists, setting strategy and delivering high-impact ML solutions.
• Architect scalable ML platforms and production-ready ML pipelines, including data ingestion, feature stores, model training, validation, deployment, and monitoring.
• Collaborate with product, platform, and software engineering teams to define ML roadmap and align with business objectives.
• Institutionalize MLOps practices (CI/CD for ML, model governance, monitoring, and alerting) to ensure reliable production systems.
• Partner with data engineering to ensure data quality, availability, and governance for ML initiatives.
• Establish and track metrics, KPIs, and budgets; manage resources and stakeholder expectations.
• Recruit, develop, and retain top ML talent and foster a culture of collaboration and continuous learning.

Requirements

• Bachelor's or Master's degree in Computer Science, ML, or a related field; or equivalent practical experience.
• 8+ years of hands-on ML engineering, ML platform, or data science experience; 3+ years in leadership/management or technical leadership roles.
• Strong proficiency in Python; hands-on experience with PyTorch and TensorFlow.
• Experience building and deploying ML models in production; familiarity with MLOps tooling (e.g., MLflow, Kubeflow) and cloud platforms (AWS, GCP, Azure).
• Solid understanding of distributed systems, data pipelines, and data quality concepts.
• Excellent communication, collaboration, and stakeholder management skills.

Nice-to-have

• Experience in manufacturing, HVAC, or supply chain domains.
• Experience with large-scale data platforms, feature stores, and model monitoring tooling.

Benefits

• Competitive compensation and equity.
• Comprehensive health benefits and 401(k) with company match.
• Flexible, remote-friendly work environment.
• Opportunities for career growth and professional development.

How to apply

Apply via this listing: https://job-boards.greenhouse.io/xometry/jobs/4634873007