Machine Learning Engineer - Generative AI

About the Role

Staff Machine Learning Engineer to lead our Generative AI efforts. This rare opportunity shapes 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 are passionate about building state‑of‑the‑art AI systems and want your work to have immediate business and customer impact, we would love to talk.

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

• Bachelor’s degree required; advanced degree (M.S. or Ph.D.) 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, Tensor Flow, pandas, Num Py).
• 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).
• 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).

• Vision insurance, paid time off, sick time, 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.
• Employee Assistance Program (EAP) and other wellbeing resources.
• Competitive base salary ($140,000–$230,000) plus annual bonus consideration, location dependent.

Hybrid – flexible work arrangement based on role requirements.

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For U.S. based roles:
Xometry participates in E‑Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.