Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is looking for a Machine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into production at scale. In this role, you’ll design, deploy, and maintain robust statistical and machine learning models, working closely with data scientists to translate research and experimentation into reliable, high-impact systems. You’ll apply strong data intuition and engineering judgment to improve model performance, reliability, and observability, while building predictive models that support pricing, cost estimation, and sourcing recommendations.

What You'll Do:

• Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations.
• Analyze large datasets to extract meaningful patterns and insights.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Learn and apply best practices in model evaluation, performance tuning, and deployment.
• Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture.
• Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
• Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks.
• Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

Qualifications:

• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• Experience deploying and maintaining machine learning models in production environments.
• 4+ years of experience in machine learning, focusing on data engineering and/or data science.
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Remote

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is looking for a Machine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into production at scale. In this role, you’ll design, deploy, and maintain robust statistical and machine learning models, working closely with data scientists to translate research and experimentation into reliable, high-impact systems. You’ll apply strong data intuition and engineering judgment to improve model performance, reliability, and observability, while building predictive models that support pricing, cost estimation, and sourcing recommendations.

What You'll Do:

• Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations.
• Analyze large datasets to extract meaningful patterns and insights.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Learn and apply best practices in model evaluation, performance tuning, and deployment.
• Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture.
• Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
• Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks.
• Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

Qualifications:

• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• Experience deploying and maintaining machine learning models in production environments.
• 4+ years of experience in machine learning, focusing on data engineering and/or data science.
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Remote

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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. You will be a respected subject-matter expert, proactively removing roadblocks for teams and tackling problems beyond your immediate scope. You will identify and lead on opportunities to drive revenue growth, cost reduction, efficiency improvement, and competitive differentiation — especially in areas involving 2D/3D part understanding, generative AI, and advanced machine-learning platforms.

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.

The estimated base salary range for new hires into this role is $150,000- $196,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

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. You will be a respected subject-matter expert, proactively removing roadblocks for teams and tackling problems beyond your immediate scope. You will identify and lead on opportunities to drive revenue growth, cost reduction, efficiency improvement, and competitive differentiation — especially in areas involving 2D/3D part understanding, generative AI, and advanced machine-learning platforms.

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.

The estimated base salary range for new hires into this role is $150,000- $196,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you’re passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we’d love to talk.

Responsibilities: 

• Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.
• Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace.
• Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
• Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
• Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets.
• Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale.
• Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
• Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
• Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications: 

• Bachelor’s degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
• 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
• Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
• Hands-on experience with multimodal data (text, images, 3D).
• Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
• Solid grounding in probability, statistics, and optimization for generative modeling.
• Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
• Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
• A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
• Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more.
• Must be a U.S. Citizen or Green Card holder (ITAR compliance)

The estimated base salary range for new hires into this role is $140,000-$230,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location.  We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you’re passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we’d love to talk.

Responsibilities: 

• Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.
• Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace.
• Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
• Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
• Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets.
• Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale.
• Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
• Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
• Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications: 

• Bachelor’s degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
• 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
• Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
• Hands-on experience with multimodal data (text, images, 3D).
• Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
• Solid grounding in probability, statistics, and optimization for generative modeling.
• Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
• Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
• A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
• Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more.
• Must be a U.S. Citizen or Green Card holder (ITAR compliance)

The estimated base salary range for new hires into this role is $140,000-$230,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location.  We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you’re passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we’d love to talk.

Responsibilities: 

• Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.
• Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace.
• Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
• Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
• Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets.
• Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale.
• Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
• Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
• Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications: 

• Bachelor’s degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
• 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
• Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
• Hands-on experience with multimodal data (text, images, 3D).
• Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
• Solid grounding in probability, statistics, and optimization for generative modeling.
• Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
• Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
• A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
• Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more.
• Must be a U.S. Citizen or Green Card holder (ITAR compliance)

The estimated base salary range for new hires into this role is $140,000-$230,000 annually OR + annual bonus depending on factors such as job-related skills, relevant experience, and location.  We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you’re passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we’d love to talk.

Responsibilities: 

• Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.
• Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace.
• Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
• Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
• Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets.
• Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale.
• Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
• Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
• Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications: 

• Bachelor’s degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
• 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
• Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
• Hands-on experience with multimodal data (text, images, 3D).
• Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
• Solid grounding in probability, statistics, and optimization for generative modeling.
• Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
• Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
• A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
• Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more.
• Must be a U.S. Citizen or Green Card holder (ITAR compliance)

#LI-Hybrid

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management
• Must be a US Citizen or Green Card holder (ITAR)

#LI-Hybrid

Xometry is seeking a Principal Software Engineer to lead the technical design and engineering of systems to predict and remediate challenges in manufacturing customers’ parts.  This team’s solutions combine ML model predictions, part geometry information, and customer information to help us accurately predict manufacturing cost and find the partners to manufacture parts successfully. This role does not require previous knowledge of manufacturing or ML, though it is helpful.

The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 4 years as technical leader of a fast-moving, collaborative team.  This position requires both technical leadership and hands-on contribution.  Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.

Responsibilities:

• Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.
• Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
• Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.
• Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.
• Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.
• Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

Qualifications:

• At least 8 years of experience in software engineering or similar technical roles.
• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science or a related field is preferred and may substitute for some years of experience.
• Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing as well as experience improving a team’s use of these practices
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (Docker and Kubernetes)
• Experience designing, building, and managing distributed computing systems
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
• Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively
• Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors
• Must be a US Citizen or Green Card holder (ITAR)

The estimated base salary range for new hires into this role is $148,000- $193,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Principal Software Engineer to lead the technical design and engineering of systems to predict and remediate challenges in manufacturing customers’ parts.  This team’s solutions combine ML model predictions, part geometry information, and customer information to help us accurately predict manufacturing cost and find the partners to manufacture parts successfully. This role does not require previous knowledge of manufacturing or ML, though it is helpful.

The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 4 years as technical leader of a fast-moving, collaborative team.  This position requires both technical leadership and hands-on contribution.  Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.

Responsibilities:

• Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.
• Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
• Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.
• Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.
• Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.
• Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

Qualifications:

• At least 8 years of experience in software engineering or similar technical roles.
• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science or a related field is preferred and may substitute for some years of experience.
• Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing as well as experience improving a team’s use of these practices
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (Docker and Kubernetes)
• Experience designing, building, and managing distributed computing systems
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
• Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively
• Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors
• Must be a US Citizen or Green Card holder (ITAR)

#LI-Hybrid

Xometry is seeking a Principal Software Engineer to lead the technical design and engineering of systems to predict and remediate challenges in manufacturing customers’ parts.  This team’s solutions combine ML model predictions, part geometry information, and customer information to help us accurately predict manufacturing cost and find the partners to manufacture parts successfully. This role does not require previous knowledge of manufacturing or ML, though it is helpful.

The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 4 years as technical leader of a fast-moving, collaborative team.  This position requires both technical leadership and hands-on contribution.  Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.

Responsibilities:

• Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.
• Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
• Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.
• Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.
• Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.
• Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

Qualifications:

• At least 8 years of experience in software engineering or similar technical roles.
• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science or a related field is preferred and may substitute for some years of experience.
• Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing as well as experience improving a team’s use of these practices
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (Docker and Kubernetes)
• Experience designing, building, and managing distributed computing systems
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
• Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively
• Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors
• Must be a US Citizen or Green Card holder (ITAR)

The estimated base salary range for new hires into this role is $148,000- $193,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Principal Software Engineer to lead the technical design and engineering of systems to predict and remediate challenges in manufacturing customers’ parts. This team’s solutions combine ML model predictions, part geometry information, and customer information to help us accurately predict manufacturing cost and find the partners to manufacture parts successfully.  This role does not require previous knowledge of manufacturing or ML, though it is helpful.

The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 4 years as technical leader of a fast-moving, collaborative team.  This position requires both technical leadership and hands-on contribution.  Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.

Responsibilities:

• Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.
• Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
• Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.
• Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.
• Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.
• Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

Qualifications:

• At least 8 years of experience in software engineering or similar technical roles.
• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science or a related field is preferred and may substitute for some years of experience.
• Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing as well as experience improving a team’s use of these practices
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (Docker and Kubernetes)
• Experience designing, building, and managing distributed computing systems
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
• Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively
• Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors
• Must be a US Citizen or Green Card holder (ITAR)

The estimated base salary range for new hires into this role is $148,000- $193,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Principal Software Engineer to lead the technical design and engineering of systems to predict and remediate challenges in manufacturing customers’ parts. This team’s solutions combine ML model predictions, part geometry information, and customer information to help us accurately predict manufacturing cost and find the partners to manufacture parts successfully. This role does not require previous knowledge of manufacturing or ML, though it is helpful.

The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 4 years as technical leader of a fast-moving, collaborative team.  This position requires both technical leadership and hands-on contribution.  Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.

Responsibilities:

• Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.
• Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
• Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.
• Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.
• Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.
• Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

Qualifications:

• At least 8 years of experience in software engineering or similar technical roles.
• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science or a related field is preferred and may substitute for some years of experience.
• Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing as well as experience improving a team’s use of these practices
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (Docker and Kubernetes)
• Experience designing, building, and managing distributed computing systems
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
• Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively
• Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors
• Must be a US Citizen or Green Card holder (ITAR)

The estimated base salary range for new hires into this role is $148,000- $193,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Principal Machine Learning Engineer to join our core machine learning platform engineering team. In this role, you will partner closely with the AI/MLE leadership team to deliver the vision and technical implementation for the foundational infrastructure leveraged by Xometry’s AI/ML solutions, including the Instant Quoting Engine® and other AI/ML products powering the Xometry marketplace.

This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform. 

Responsibilities:

• Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.
• Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
• Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.
• Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.
• Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.
• Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

Qualifications:

• At least 7 years of experience in machine learning engineering, software engineering, data science, or similar technical role.
• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience.
• Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support machine learning, and machine learning models, with considerations for scale, reliability and security.
• Deep understanding of the machine learning lifecycle and related infrastructure needs - feature stores, a/b testing, model registration, drift detection, automated retraining, etc.
• Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following:
• Software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration.
• Machine learning techniques and algorithms, with emphasis on their impact to infrastructure implementation
• Including large-scale language and vision models (Transformers, GPT, VLMs, LLMs), deep learning (PyTorch, Tensorflow) 
• Infrastructure as Code (IaC), especially Terraform
• REST API design and implementation
• Object oriented and functional programming in Python
• Multimodal data processing (e.g., combining text, image, and 3D data).
• Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis
• Containerization technologies (Docker and Kubernetes)
• Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors
• Experience in the manufacturing, supply chain, or similar industries is a plus.
• Must be a US Citizen or Green Card holder (ITAR)

The estimated base salary range for new hires into this role is $140,000- $182,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management
• Must be a US Citizen or Green Card holder (ITAR)

The estimated base salary range for new hires into this role is $123,000- $159,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management

#LI-Remote

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management

#LI-Remote