[Remote] Principal Machine Learning Data Scientist, Gen AI

Note: The job is a remote job and is open to candidates in USA. Xometry is a digital marketplace connecting innovative ideas with manufacturers. They are seeking a Principal Data & ML Scientist to lead their Generative AI team, focusing on developing and optimizing AI-driven solutions and generative models to enhance service offerings.

Responsibilities

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

Skills

• 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
• 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

Benefits

• 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

Company Overview

• Xometry is an online marketplace that allows customers to access a network of machine shops and custom manufacturers. It was founded in 2013, and is headquartered in Gaithersburg, Maryland, USA, with a workforce of 1001-5000 employees. Its website is https://www.xometry.com.

Company H1B Sponsorship

• Xometry has a track record of offering H1B sponsorships, with 8 in 2025, 1 in 2023, 1 in 2022, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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