Principal Data Scientist - Gen AI
Xometry· Data Science and Engineering
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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