Senior Principal, ML/AI

Xometry
Denver
Workplace: HybridFull timeUSD 150,000 - 196,000 annuallyFunction: Data Science & Machine LearningExperience: 12+ yearsEducation: phdSkills: ["Cross-functional collaboration","Communication","Mentorship","Influencing without authority","Roadblock removal"]

Serve as a technical leader for large, cross-functional ML/AI initiatives with lasting business impact. Own an 18–24-month ML/AI roadmap that balances generative 3D and vision/3D pipelines with measurable outcomes like quoting accuracy, lead-time reduction, defect detection, and cost optimization. Partner across engineering, product, operations, and leadership, proactively remove roadblocks, and mentor ML teams while shaping models, data pipelines, and MLOps infrastructure.

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FursaFursa
Xometry
Xometry
12 hours ago

Senior Principal, ML/AI

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Last checked: 7 hours agoStatus: Live

Job Summary

Serve as a technical leader for large, cross-functional ML/AI initiatives with lasting business impact. Own an 18–24-month ML/AI roadmap that balances generative 3D and vision/3D pipelines with measurable outcomes like quoting accuracy, lead-time reduction, defect detection, and cost optimization. Partner across engineering, product, operations, and leadership, proactively remove roadblocks, and mentor ML teams while shaping models, data pipelines, and MLOps infrastructure.
Location: Denver
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead multiple large, cross-functional ML/AI solutions with significant, lasting impact across the business.
  • •Define and drive an 18–24-month ML/AI technical roadmap balancing innovation (e.g., generative 3D, foundation models, vision/3D pipelines) with business value delivery.
  • •Influence partner roadmaps and advise on resourcing across engineering, product, operations, and business teams.
  • •Proactively identify and remove roadblocks for teams and projects across technical, operational, data, and resource constraints.
  • •Serve as a trusted SME and mentor individuals and technical teams while guiding ML infrastructure, data, model, and tooling decisions.

Pay and Benefits

Salary: USD 150,000 - 196,000 annually
Perks:401kHealth InsuranceDentalVisionPaid LeaveLife InsuranceDisability InsuranceFloating Holidays

Key Requirements

  • •Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering, or related field (PhD preferred).
  • •12+ years of professional experience in machine learning, AI, or data science, with several years leading major programs in senior/principal capacity.
  • •Architect and deliver large-scale ML/AI solutions end-to-end across data ingestion, feature engineering, training, evaluation, deployment, and monitoring/operations.
  • •Deep expertise in ML frameworks and production ML systems, including TensorFlow, PyTorch, data engineering, MLOps, cloud platforms (AWS, GCP, Azure).
  • •Strong experience with 3D modeling/geometry/computer vision and generative AI techniques (e.g., large language models, multimodal models, diffusion, GANs) translated into business use-cases.
Experience:12+ yearsMachine learningArtificial intelligenceData scienceMLOpsComputer vision
Education:PhD / Doctorate in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering (or related field)
Skills:Cross-functional collaborationCommunicationMentorshipInfluencing without authorityRoadblock removal
Languages:English
Tech Stack:TensorFlowPyTorchAWSGCPAzureMLOpsDiffusionGANsLarge language modelsMultimodal modelsPoint-cloud processingMesh processingCAD/CAM

Company Brief

Xometry
Operates an on-demand digital manufacturing marketplace connecting buyers with manufacturing partners for CNC machining, 3D printing, sheet metal, injection molding and other custom parts, leveraging instant quoting and supply chain services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Rockville, United States
Founded: 2013
Glassdoor
Glassdoor: 3.8
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