Principal Data Scientist - Gen AI

Xometry • North Bethesda, MD

2d • $200,000 - $230,000 • Hybrid

About The Position

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.
This role requires a hybrid schedule (3 days a week) at our Waltham, MA or North Bethesda, MD office location.

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.
• 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.
• Demonstrated ability to drive 18-24 month technical initiatives that deliver lasting organizational and business impact.
• 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, with a track record of aligning executives and cross-functional partners around ambitious scientific directions.

Nice To Haves

• An advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

Responsibilities

• Own and drive an 18-24 month technical roadmap that balances innovation with disciplined business value delivery.
• 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.
• 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.
• Champion the adoption of better approaches across teams and functions.
• Influence the roadmaps, priorities, and resourcing of partner engineering, product, and business teams.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• 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, including Designcenter and Teamcenter.
• 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.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Serve as a respected subject matter expert and mentor to scientists and engineers across the organization.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing.

Benefits

• The base pay range for this role is $200,000 - $230,000 . The total compensation package includes base, bonus, and equity.
• Comprehensive benefits package including 401k match, medical, dental, and vision insurance, and generous paid time off.
• A stipend for catered lunch on Tuesdays and Thursdays.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Principal