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Principal Data Scientist - Gen AI

Xometry· Data Science and Engineering
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Hybrid (North Bethesda, MD / Waltham, MA)$200k - $230kfull-timePosted 4mo ago

About the role

Principal Data Scientist leading the Generative AI team, focusing on fine-tuning generative and language models, multimodal document understanding, and structured data extraction. Technical leader for high-stakes initiatives (e.g., DFM AI + IQE integration with Siemens) with a 12-month technical roadmap and long-term AI strategy.

Responsibilities

  • Own and drive an 18-24 month technical roadmap for generative AI initiatives
  • Develop and deploy generative AI models and large language models for multimodal document processing and data extraction
  • Lead exploration and development of text and image-based data processing solutions, including training and fine-tuning models
  • Provide technical leadership, set direction, define best practices for the Generative AI team
  • Influence roadmaps, priorities, and resourcing with partner engineering, product, and business teams
  • Serve as technical architect for the embedded DFM AI + IQE track with Siemens (Designcenter and Teamcenter) including real-time manufacturability feedback
  • Design and implement data preparation, cleaning, and augmentation workflows; use cloud platforms (e.g., AWS) for large-scale processing, training, and deployment
  • Mentor scientists and engineers; stay updated with the latest research in generative AI, deep learning, and multimodal data processing

Qualifications

  • Typically 10+ years of experience with applied ML and data science, or PhD with 6+ years relevant experience
  • Bachelor’s degree required; advanced degree (MS/PhD) preferred in CS/ML/AI or related field
  • Expert-level proficiency in Python and scientific computing; production-grade ML systems experience
  • Proficiency with Python libraries (PyTorch, TensorFlow, pandas, numpy)
  • Depth in ML/statistical methodology; experience with large-scale language and vision models and multimodal data processing
  • Strong background in probability, statistics, and optimization for generative modeling
  • Ability to drive 18-24 month technical initiatives delivering business impact
  • Familiarity with cloud resources for training/deployment (e.g., AWS SageMaker) and software engineering practices (version control, reproducibility, CI)
  • Excellent communication and stakeholder alignment skills
  • Domain experience in manufacturing/supply chain a plus

Skills

Required:Technical roadmap ownershipGenerative AI model developmentMultimodal data processingLeadership and mentorship

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 and wellbeing resources
  • other competitive benefits
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Xometry

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