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Xometry

On-demand custom manufacturing platform with supplies

Staff Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A minimum of 8 years of data science or machine learning experience with a Bachelor's degree; 5–6+ years with a Master's degree; or a PhD with 3–4+ years of applied experience.
  • Expert-level proficiency in Python and SQL.
  • Proven ability to lead cross-functional delivery for high-value external partnerships and influence stakeholders without direct authority.
  • A track record of executing long-term science roadmaps that translate complex manufacturing physics into real-time pricing and design-for-manufacturability outcomes.
  • Ability to communicate complex technical trade-offs regarding data governance and model performance to external executives and internal stakeholders.

Responsibilities

  • Lead the design and delivery of production machine-learning solutions that embed Xometry's AI into a partner's ecosystem workflows, shifting technology from vertically integrated services to SaaS solutions that integrate into multiple environments and enable real-time feedback loops.
  • Partner with external technical leads and Xometry engineering, product, and business leadership to align science priorities, including decisions about native 3D geometry versus mesh-based formats.
  • Define and own the 12-month science roadmap for the strategic partnership, bridging Phase 1 (DFM and pricing integration) and Phase 2 (full part lifecycle and marketplace integration).
  • Anticipate technical hurdles in ring-fenced data environments and enterprise-grade deployments, ensuring Xometry AI supports one-click order placement and execution insights within the partner application experience.
  • Provide technical guidance to scientists and drive adoption of shared frameworks and reusable tooling to scale Xometry AI across multiple enterprise-grade partners.
  • Extract and embed core AI engines focused on Design for Manufacturability and Instant Quoting into the partner's core software and product lifecycle management platforms.
  • Enable engineers to receive real-time manufacturability feedback and pricing when design decisions are made, operating directly on native 3D geometry.
  • Work directly with native 3D geometry in the partner ecosystem to deliver accurate, fast insights.
  • Enable procurement and execution insights within the design environment through an integrated one-click process.

Desired Qualifications

  • Deep expertise in geometric deep learning, computer vision (3D mesh/B-Rep processing), or generative AI.
  • Experience with CAD or PLM software, computational geometry, or industrial manufacturing.
  • Experience shipping production-grade machine-learning models that handle massive multimodal datasets, such as millions of proprietary part files and production outcomes.
  • Experience shaping machine-learning infrastructure for ring-fenced or dedicated-tenant environments where data security is paramount.
  • Background in dynamic pricing, supply chain optimization, or high-volume marketplace modeling.

About the Company

Xometry

On-demand custom manufacturing platform with supplies

Xometry operates an online marketplace that connects customers with a network of manufacturers for on-demand production services. Customers upload design files and receive instant quotes for manufacturing processes such as 3D printing, CNC machining, injection molding, and sheet metal fabrication. The company leverages its broad partner network to offer parts quickly and at competitive prices, with no minimum order requirements. In addition to manufacturing services, Xometry sells industrial supplies—raw materials, tooling, and MRO products—through its Supplies Flex program, which lets customers lock in material pricing and pay in installments. The business earns revenue from transaction fees on manufacturing work and direct sales of supplies. The goal is to provide reliable, fast access to custom parts and materials for small businesses, large companies, and individual entrepreneurs by offering a simple, transparent marketplace and flexible pricing options.

Company size
1,001-5,000
Company stage
IPO
Headquarters
North Bethesda, MD
Founded
2013

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