Jobs · Engineering · Kentucky

Staff Machine Learning Engineer - Generative AI

Xometry · Lexington, KY · 1 mo ago
HybridEngineeringFull-time

Responsibilities

  • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace.
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets.
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale.
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications

  • Bachelor’s degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
  • Hands-on experience with multimodal data (text, images, 3D).
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
  • Solid grounding in probability, statistics, and optimization for generative modeling.
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
  • Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more.
  • Must be a U.S. Citizen or Green Card holder (ITAR compliance).

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