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Staff Machine Learning Engineer

Xometry· Technology
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Lexington, KYfull-timePosted 4w ago

About the role

Senior individual contributor responsible for leading design and delivery of complex ML systems, architecting integrations across the tech stack, and setting engineering standards for ML solutions at scale. Owns AI/ML architecture behind the DFM AI + IQE integration and leads data engineering for the digital thread connecting Xometry to partner ecosystems.

Responsibilities

  • Lead with technical depth – Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives
  • Own the Partner integration AI/ML plane – Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter. Design real-time ML serving architecture and low-latency signal path delivering DFM and pricing feedback into designers' environment. Define data contracts for model inputs/outputs and implement MLOps, governance, and observability for a mission-critical, public-marketplace partner integration
  • Build for scale – Develop cloud-based production systems powering real-time endpoints and MLOps, integrated with Xometry's broader systems and infrastructure
  • Solve ambiguous problems – Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives
  • Set the Standard – Surface opportunity areas, own new processes and solutions, and develop multi-quarter roadmaps to accomplish key technical objectives
  • Champion quality and security – Apply best practices in automated testing, parallel and distributed computing, and secure software development across ML systems
  • Collaborate broadly – Partner with engineers, product managers, data scientists, and business stakeholders to translate requirements into robust technical solutions
  • Mentor and elevate – Guide other engineers through design reviews, code reviews, and technical mentorship, raising overall team capability
  • Stay current – Keep pace with advances in ML/AI and bring relevant new approaches, tools, and frameworks into practice

Qualifications

  • Bachelor's degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production
  • Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and/or Generative AI frameworks, with a focus on backend scalability and reusability
  • Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly preferred), including auto-scaling, monitoring, and alerting
  • Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar
  • Solid grounding in software engineering fundamentals, data structures, and algorithms
  • Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection, and automated retraining and redeployment pipelines
  • Proficiency with CI/CD pipelines (e.g., Github actions), test driven development, and infrastructure as code (e.g., Terraform)
  • Experience profiling and optimizing existing ML model deployments for latency and throughput
  • Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively across engineering, product, and business audiences
  • Experience with state-of-the-art modeling techniques including transformers, self-supervised pre-training, large language models (LLMs), or generative AI
  • Knowledge of containers, container orchestration (Kubernetes), and cloud-native distributed systems
  • Background in manufacturing, supply chain, or marketplace environments is a plus

Skills

Required:Requirements gathering and release planningAI/ML architecture for real-time integrationsMLOps, monitoring, and observabilityPythonTensorFlow / PyTorch (or similar)

Benefits

  • competitive benefits package, including 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP, other wellbeing resources
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Xometry

Where Big Ideas Are Built | Production Parts and Prototypes | Xometry

Xometry is a leader in high-precision production part and prototyping manufacturing on demand. Get instant quotes on CNC machining, 3D printing, sheet metal fabrication, laser cutting, and more.

CNC Machining3D PrintingSheet Metal FabricationLaser CuttingPrototypingInjection MoldingMetal Part ProductionHigh-Volume Metal Production
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