Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting people with big ideas to manufacturers who can bring them to life. Xometry's digital marketplace provides manufacturers with critical resources to grow their businesses and makes it easy for Fortune 1000 companies to access global manufacturing capacity. Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly in fine-tuning models, multimodal document understanding, and structured data extraction. This person will leverage expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring adherence to industry standards in AI and ML development. Lead strategic planning and develop roadmaps for generative AI initiatives, identifying high-impact projects aligned with business objectives. Develop and deploy generative AI models and large models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Explore and develop innovative text and image-based data processing solutions, including training and fine-tuning models. Design workflows for data preparation, cleaning, and augmentation to support model training. Utilize cloud platforms (e.g., AWS) for large-scale data processing, model training, and deployment. Collaborate with engineering and business teams to align AI solutions with organizational needs. Mentor team members on advanced machine learning techniques, model architecture, and problem-solving strategies. Experiment and iterate on model performance, tuning architectures and parameters for improved accuracy and efficiency. Stay updated with latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices into development. Requirements: Bachelor's degree required; an M.S. or PhD in computer science, machine learning, AI, or a related field is highly preferred. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Expertise in large-scale and vision models (e.g., Transformers, GPT, VLMs). Experience with multimodal data processing (text, image, 3D data). Proficiency in Python and libraries such as PyTorch, TensorFlow, pandas, and numpy. Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Familiarity with cloud resources and tools for training and deploying models (e.g., AWS SageMaker). Knowledge of software engineering principles, including version control, reproducibility, and CI/CD. Experience in manufacturing, supply chain, or related industries is a plus. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, or disability. For US-based roles: Xometry participates in E-Verify and will provide Form I-9 information after an offer is accepted to confirm employment eligibility.

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