Principal Data Scientist - Gen AI

Xometry is seeking an exceptional Principal Data Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This role will also serve as a key technical leader for high-stakes strategic initiatives, including the DFM AI + IQE integration with Siemens. In this role, you will serve as a technical leader, owning a 12 month technical roadmap, driving large-scale cross-functional ML and AI initiatives, and setting the long-term scientific direction for AI-driven solutions that enhance Xometry's service offerings.

Responsibilities

Own and drive an 18-24 month technical roadmap for generative AI initiatives; develop and deploy generative AI models and LLMs for multimodal document processing; lead technical leadership and standards for the Generative AI team; influence roadmaps, priorities, and resourcing of partner engineering, product, and business teams; serve as technical architect for DFM AI + IQE integration with Siemens; design and implement workflows for data preparation, cleaning, and augmentation; utilize cloud platforms for large-scale data processing, model training, and deployment; mentor and guide team members; stay updated with latest research in generative AI, deep learning, and multimodal data processing

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; bachelor's degree required; expert-level proficiency in Python and advanced scientific computing; track record of building large-scale, production-grade ML systems; proficient in Python including 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); 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; demonstrated ability to drive 18-24 month technical initiatives; familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker); familiar with software engineering principles, including version control, reproducibility, and continuous integration; exceptional influence and communication skills

Nice to have

Advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field; experience in manufacturing, supply chain, or similar industries

Benefits

Bonus; 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