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. You will work closely with engineering, product, design, manufacturing operations, and business leadership to influence partner roadmaps and resourcing.

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
• Provide mentorship of individuals and technical teams
• Act as a trusted SME with strong cross-functional partnerships, shaping ML/AI infrastructure, data, model, and tooling decisions
• Play a leadership role in identifying opportunities to drive revenue growth, reduce costs, and optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing-ready models)
• 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; translate insights into internal improvements
• Consistently scrutinize existing work, identifying opportunities for incremental growth and efficiency optimization

What You'll Bring to Xometry

• 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—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 / 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; ability to articulate technical vision and trade-offs to senior leadership
• Proven ability to influence without direct authority and drive change across organizations
• 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