Principal Data Scientist – Gen AI

Responsibilities

• Own and drive an 18-24 month technical roadmap that balances innovation with disciplined business value delivery.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing.
• Provide technical leadership to the Generative AI team, setting technical direction and defining best practices.
• Influence the roadmaps, priorities, and resourcing of partner engineering, product, and business teams.
• Serve as the technical architect for the embedded DFM AI + IQE track, leading the integration of Xometry’s proprietary AI directly into the Siemens ecosystem.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Serve as a respected subject matter expert and mentor to scientists and engineers across the organization.

• Typically 10-plus years of experience with a broad and deep portfolio of applied ML and data science work; or a PhD with 6-plus years of relevant experience.
• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• Expert-level proficiency in Python and advanced scientific computing, with a track record of building large-scale, production-grade ML systems.
• Proficient in Python, including key libraries such as PyTorch, Tensor Flow, pandas, and numpy.
• Recognized depth in machine learning and statistical methodology.
• Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs) and experience with multimodal data processing (e.g., combining text, image, and 3D data).
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.