Senior Principal, ML/AI

About the Role

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligence to join our team. You will serve as a technical leader for large, cross-functional ML/AI initiatives that have significant and lasting business impact. You will own and drive an 18- to 24-month technical roadmap that balances innovation with business value delivery, working closely with engineering, product, design, manufacturing operations, and business leadership.

How You’ll Contribute

• Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business.
• Define and drive the 18-24-month ML/AI technical roadmap—balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization).
• Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, and champion ML/AI best practices.
• Proactively identify and remove roadblocks for teams and projects—whether technical, operational, data-related, or resource constraints.
• Mentorship of individuals and technical teams.
• Act as a trusted SME with strong cross-functional partnerships to shape ML/AI infrastructure, data, model, and tooling decisions.
• Play a leadership role in identifying areas of opportunity (e.g., using ML/AI for rapid quoting, generative design, automated quality inspection, 3D-geometry classification).
• Address problems adjacent to your sphere of immediate influence and champion holistic solutions.
• Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling, and manufacturing tech.
• Consistently identify opportunities for incremental growth and efficiency optimization across inference latency, model retraining intervals, feature pipelines, and compute costs.

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering, or a related field (PhD preferred for deep generative/3D modeling emphasis).
• 12+ years of professional experience in machine learning, artificial intelligence, or data science roles, with several years in a senior or principal capacity leading major programs.
• Demonstrated experience architecting and delivering large-scale ML/AI solutions end-to-end: data ingestion, feature engineering, model training, evaluation, deployment, monitoring, and operations.
• Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems.
• Experience in 3D modeling, geometry, computer vision, or generative models (e.g., point-cloud processing, mesh processing, text23D, image23D, CAD/CAM integration) is highly desirable.
• Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases.
• Excellent cross-functional collaboration skills with the ability to partner with diverse teams and translate technical concepts into business language.
• Proven ability to influence without direct authority and drive change across organizations.
• Strong communication and presentation skills.
• Track record of identifying and delivering measurable business impact via ML/AI.
• Experience mentoring and guiding teams of ML engineers, data scientists, and AI researchers.