Staff Machine Learning Engineer - Generative AI

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.

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)

The estimated base salary range for new hires into this role is $140,000-$230,000 annually annual 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.

#LI-Hybrid