Staff Machine Learning Engineer - Generative AI at Xometry in Denver, CO

Job description

• Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you’re passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we’d love to talk.

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

Requirements

• 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)

Skills

Required

• Communication
• Collaboration
• Mentoring
• Leadership
• Curiosity and drive
• Python
• PyTorch
• TensorFlow
• pandas
• NumPy
• AWS
• Terraform

Benefits

• The estimated base salary range for new hires into this role is $140,000-$230,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a 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; and much more.