Principal Data Scientist – Gen AI

Xometry

Principal Data Scientist specializing in Generative AI for Xometry, enhancing AI capabilities in manufacturing. Leading strategic initiatives and technical direction for AI-driven applications.

Posted 6/9/2026full-timeWaltham • Massachusetts • 🇺🇸 United StatesLead💰 $200,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudNumpyPandasPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Own and drive an 18-24 month technical roadmap that balances innovation with disciplined business value delivery.
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.
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.
Influence the roadmaps, priorities, and resourcing of partner engineering, product, and business teams.
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.
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
Serve as a respected subject matter expert and mentor to scientists and engineers across the organization.

Requirements

What you’ll need

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

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata sciencegenerative AIlarge language modelsPythonPyTorchTensorFlowstatistical methodologymultimodal data processingoptimization techniques

Soft Skills

technical leadershipinfluencecommunicationmentorshipcollaborationorganizational impactbest practicessubject matter expertisealignmentinnovation

Certifications

PhDM.S.