Principal Machine Learning Data Scientist - Gen AI

Xometry - North Bethesda, MD

Full-time - Principal

North Bethesda, MD

11-50 employees

Miscellaneous Manufacturing

About the position

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. This role focuses on advancing machine learning and generative AI capabilities, particularly in fine-tuning generative and language models, multimodal document understanding, and structured data extraction. The ideal candidate will leverage their expertise 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 and defining best practices.
• Lead strategic planning and roadmap development for generative AI initiatives, aligning projects with business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing.
• Lead the exploration and development of innovative text and image-based data processing solutions.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation.
• Utilize cloud platforms for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams to align generative AI solutions with business needs.
• Mentor and guide team members on advanced machine learning techniques and model architecture design.
• Continuously experiment and iterate on model performance to improve accuracy and efficiency.
• Stay updated with the latest research in generative AI and incorporate best practices into model development.

Requirements

• A bachelor's degree is required; an advanced degree (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 language and vision models (e.g., Transformers, GPT, VLMs).
• Experience with multimodal data processing (e.g., combining text, image, and 3D data).
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• 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.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

Nice-to-haves

• Experience in the manufacturing, supply chain, or similar industries.