Xometry is looking to leverage Generative AI to solve real-world problems in manufacturing, including multimodal document understanding, extracting structured data from technical drawings, and reasoning across text, images, and 3D data to improve their digital marketplace.
Requirements
- 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).
Responsibilities
- 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.
- Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.
- Set the technical direction for our 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.
Other
- Lead with vision
- Drive strategy
- Collaborate widely
- Mentor and grow
- A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
- Must be a U.S. Citizen or Green Card holder (ITAR compliance)
