Senior Principal, ML/AI

About the Role

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligence to serve as a technical leader for large, cross-functional ML/AI initiatives that deliver significant and lasting business impact. In this role, you will own and drive an 18- to 24-month technical roadmap balancing innovation with business value delivery, while collaborating across engineering, product, design, manufacturing operations, and business leadership.

Responsibilities

• Serve as the technical leader of multiple large, cross-functional ML/AI solutions 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 technical, operational, data-related, or resource roadblocks.
• Mentor individuals and technical teams, shaping team culture, practices, and career growth.
• Act as a trusted SME guiding ML/AI infrastructure, data, model, and tooling decisions.
• Identify opportunities to unlock new revenue streams, reduce costs, and optimize efficiency.
• Address challenges outside your direct scope and champion holistic solutions.
• Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling, and manufacturing tech.
• Optimize existing systems across inference latency, model retraining intervals, feature pipelines, compute costs, and automation.

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering, or related field (PhD preferred for deep generative/3D modeling emphasis).
• 12+ years of professional experience in machine learning, artificial intelligence, or data science roles, including experience 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 and communication skills, with a track record of driving measurable business impact without direct authority.