Senior Principal, ML/AI

Responsibilities

• 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, 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: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions.
• Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models).
• Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions.
• Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech; translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization.
• Consistently scrutinize existing work, identify opportunities for incremental growth and efficiency optimization - whether in inference latency, model retraining intervals, feature pipelines, cost of compute, or automation of manual tasks.

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 — with several years in senior or principal capacity leading major programs.
• Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & 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 skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language.
• Proven ability to influence without direct authority and drive change across organizations.
• Strong communication and presentation skills; you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership.
• Track record of identifying and delivering measurable business impact via ML/AI - e.g., revenue growth, cost savings, improved efficiency.
• Experience mentoring and guiding teams of ML engineers / data scientists / AI researchers, shaping team culture, practices, and career growth.