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.
Requirements
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, TensorFlow, 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.