Xometry

1 month ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior individual contributor leading end-to-end ML initiatives, architecting real-time AI/ML integrations across the tech stack, and ensuring scalable, high-performance machine learning solutions in production. Owns data contracts, MLOps, and observability for mission-critical partner integrations with design centers and Teamcenter, delivering ML-driven DFM and pricing feedback in real time.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead with technical depth – Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives.
•Own the Partner integration AI/ML plane – Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter, including data contracts and MLOps, governance, and observability for a mission-critical partner integration.
•Build for scale – Develop cloud-based production systems powering real-time endpoints and MLOps, integrated with Xometry's broader systems and infrastructure.
•Solve ambiguous problems – Navigate cross-domain technical challenges and deliver solutions that meet business and technical objectives.
•Set the Standard – Take ownership of new processes and multi-quarter roadmaps to accomplish key technical objectives and improve quality and security across ML systems.

Pay and Benefits

Salary: USD 200,000 - 220,000 annually

Perks:401kMedicalDentalVisionPaid Leave

Key Requirements

•Bachelor's degree in a STEM field and 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production.
•Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and/or Generative AI frameworks, with a focus on backend scalability and reusability.
•Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly preferred), including auto-scaling, monitoring, and alerting.
•Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar.
•Proficiency with CI/CD pipelines (e.g., GitHub Actions), test driven development, and infrastructure as code (e.g., Terraform).

Experience:6-8 yearsManufacturingDigital marketplaceML in production

Education:Bachelor's

Skills:LeadershipMentoringCommunicationProblem-solving

Languages:English

Tech Stack:PythonTensorFlowPyTorchAWSGitHub ActionsTerraformKubernetesMLOps

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: 3.8

Website LinkedIn Glassdoor

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Xometry

1 month ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead with technical depth – Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives.
•Own the Partner integration AI/ML plane – Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter, including data contracts and MLOps, governance, and observability for a mission-critical partner integration.
•Build for scale – Develop cloud-based production systems powering real-time endpoints and MLOps, integrated with Xometry's broader systems and infrastructure.
•Solve ambiguous problems – Navigate cross-domain technical challenges and deliver solutions that meet business and technical objectives.
•Set the Standard – Take ownership of new processes and multi-quarter roadmaps to accomplish key technical objectives and improve quality and security across ML systems.

Pay and Benefits

Salary: USD 200,000 - 220,000 annually

Perks:401kMedicalDentalVisionPaid Leave

Key Requirements

•Bachelor's degree in a STEM field and 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production.
•Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and/or Generative AI frameworks, with a focus on backend scalability and reusability.
•Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly preferred), including auto-scaling, monitoring, and alerting.
•Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar.
•Proficiency with CI/CD pipelines (e.g., GitHub Actions), test driven development, and infrastructure as code (e.g., Terraform).

Experience:6-8 yearsManufacturingDigital marketplaceML in production

Education:Bachelor's

Skills:LeadershipMentoringCommunicationProblem-solving

Languages:English

Tech Stack:PythonTensorFlowPyTorchAWSGitHub ActionsTerraformKubernetesMLOps

Company Brief

Xometry

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: 3.8

Website LinkedIn Glassdoor