Principal Software Engineer, Manufacturing Intelligence

🏢 Summary: Principal Software Engineer role focused on leading the design and development of distributed systems that combine ML predictions, part geometry, and customer data to optimize manufacturing cost and partner selection. The position blends hands-on coding with technical leadership, driving best practices and innovation across AI/ML engineering teams. It requires strong experience in cloud-native and distributed architectures within a collaborative, fast-paced environment. 🗂️ Requirements: 8+ years of software engineering experience, 4+ years as technical leader of engineering teams, Bachelor’s degree in Computer Science or related field, Proficiency in object-oriented design, code versioning, and testing practices, Experience with cloud platforms (AWS, GCP, or Azure), Experience with containerization technologies, Experience designing and managing distributed systems, Hands-on coding and code review experience in ML engineering contexts, US Citizen or Green Card holder (ITAR) 📃 Skills: AWS, GCP, Azure, Docker, Kubernetes, OOP, Git, Testing, DistributedSystems, ML 🏢 Description: 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 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-HybridXometry 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.

🏢 Summary: Principal Software Engineer role focused on leading the design and development of distributed systems that combine ML predictions, part geometry, and customer data to optimize manufacturing cost estimation and partner selection. The position blends hands-on coding with technical leadership, mentorship, and cross-functional collaboration in a fast-paced AI/ML environment. This is a senior-level role requiring strong experience in cloud infrastructure and scalable system architecture. 🗂️ Requirements: 8+ years of software engineering experience, Minimum 4 years as technical leader of engineering team, Bachelor’s degree in Computer Science or related field, Proficiency in object-oriented design, version control, and testing, Experience with cloud platforms (AWS, Google Cloud, or Azure), Experience with Docker and Kubernetes, Experience designing and managing distributed systems, Ability to perform code reviews and enforce ML engineering best practices, US Citizenship or Green Card (ITAR requirement) 📃 Skills: Python, AWS, GoogleCloud, Azure, Docker, Kubernetes, ML, DistributedSystems, OOP, Git, Testing 🏢 Description: 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 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-HybridXometry 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.

🏢 Summary: Principal Software Engineer role leading the design and development of distributed systems that combine ML predictions, part geometry, and customer data to optimize manufacturing cost and partner selection. The position requires hands-on technical leadership, ownership of architecture, and driving best practices in ML engineering and cloud infrastructure. The engineer will guide technical strategy while actively contributing to coding, reviews, and system design. 🗂️ Requirements: 8+ years of software engineering experience, 4+ years as technical leader of engineering team, Bachelor’s degree in Computer Science or related field, Strong expertise in object-oriented design, versioning, and testing, Experience with cloud platforms, Experience with containerization technologies, Experience designing and managing distributed systems, US Citizen or Green Card holder (ITAR) 📃 Skills: Python, AWS, GCP, Azure, Docker, Kubernetes, ML, DistributedSystems, OOP, Git, Testing 🏢 Description: 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 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-HybridXometry 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.

🏢 Summary: Principal Software Engineer role focused on leading the design and development of distributed systems that combine ML predictions, geometry data, and customer information to optimize manufacturing cost estimation and partner selection. The position blends hands-on coding with technical leadership, mentorship, and cross-functional collaboration in a fast-paced AI/ML environment. It requires strong expertise in cloud infrastructure and scalable system architecture. 🗂️ Requirements: 8+ years of software engineering experience, Minimum 4 years as technical leader of engineering team, Bachelor’s degree in Computer Science or related field, Proficiency in object-oriented design, version control, and testing practices, Experience with cloud platforms (AWS, Google Cloud, or Azure), Experience with containerization technologies, Experience designing and managing distributed systems, US Citizenship or Green Card (ITAR requirement) 📃 Skills: AWS, GoogleCloud, Azure, Docker, Kubernetes, ML, DistributedSystems, OOP, Git, Testing, Cloud, AI 🏢 Description: 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 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-HybridXometry 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.

🏢 Summary: Senior Machine Learning Engineer role focused on advancing and scaling AI capabilities within a production platform, including research, prototyping, and deployment of state-of-the-art ML models. The position involves developing scalable, cloud-native ML solutions that improve cost prediction, pricing, and sourcing through large-scale data processing and modern AI techniques. You will lead technical initiatives, evaluate emerging technologies, and ensure reliable, production-ready ML systems. 🗂️ Requirements: 5+ years experience building large-scale ML-driven products, 3+ years experience leading cross-team engineering efforts, Hands-on experience with state-of-the-art ML techniques (transformers, self-supervised learning, generative models, LLMs), Experience training and deploying models at scale using deep learning frameworks, Experience with large-scale data processing, Hands-on experience with containers and container orchestration, Experience with distributed systems, Strong software engineering fundamentals (OOP, design patterns, refactoring, testing), Experience with Infrastructure as Code, Experience building and consuming CI/CD pipelines, Proficiency with SQL and/or NoSQL databases and data modeling, Experience working with Unix/Linux systems, Ability to design scalable, production-grade ML systems, US Citizenship or Green Card (ITAR requirement) 📃 Skills: Python, PyTorch, TensorFlow, Transformers, LLMs, SQL, NoSQL, Docker, Kubernetes, CI/CD, IaC, Linux, OOP, DistributedSystems, GenerativeModeling, SelfSupervisedLearning 🏢 Description: 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 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-HybridXometry 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.

🏢 Summary: Staff Machine Learning Engineer role focused on leading Generative AI initiatives to build and deploy multimodal AI systems for document understanding, structured data extraction, and reasoning across text, images, and 3D data. The position involves setting technical direction, developing large-scale models, and deploying production-grade AI solutions in the cloud. This role combines advanced research with scalable engineering to deliver real-world impact in manufacturing workflows. 🗂️ Requirements: Bachelor’s degree in Computer Science, Machine Learning, AI or related field, 5+ years of experience in machine learning or data science, Expertise in generative models, LLMs or computer vision, Experience with large-scale language and vision models, Hands-on experience with multimodal data (text, images, 3D), Proficiency in Python, Experience with PyTorch or TensorFlow, Strong knowledge of probability, statistics and optimization, Experience deploying ML models in cloud microservice architecture, Experience with AWS, Strong software engineering skills (OOP, testing, version control, CI/CD, IaC), U.S. Citizenship or Green Card (ITAR compliance) 📃 Skills: Python, PyTorch, TensorFlow, pandas, NumPy, Transformers, GPT, VLMs, AWS, Terraform, CI/CD, OOP, Microservices, LLMs, ComputerVision, Statistics, Probability, Optimization 🏢 Description: 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 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-HybridXometry 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.

🏢 Summary: Staff Machine Learning Engineer role focused on leading Generative AI initiatives, building and deploying large-scale multimodal models for document understanding and structured data extraction in a production cloud environment. The position combines hands-on development of LLMs and vision models with technical leadership and scalable ML engineering. The role emphasizes real-world impact through production-grade AI systems integrated into business workflows. 🗂️ Requirements: Bachelor’s degree in Computer Science, Machine Learning, AI or related field, 5+ years of experience in machine learning or data science, Deep expertise in generative models, LLMs or computer vision, Experience with large-scale language and vision models, Hands-on experience with multimodal data (text, images, 3D), Proficiency in Python, Experience with PyTorch or TensorFlow, Strong knowledge of probability, statistics and optimization, Experience deploying ML models in cloud microservice architecture, Strong software engineering skills (OOP, testing, version control, CI/CD, IaC), U.S. Citizen or Green Card holder 📃 Skills: Python, PyTorch, TensorFlow, pandas, NumPy, Transformers, GPT, VLMs, AWS, Terraform, CI/CD, OOP, Microservices, LLMs, ComputerVision, GenerativeAI, Statistics, Optimization 🏢 Description: 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 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-HybridXometry 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.

🏢 Summary: Opportunity for a Staff Machine Learning Engineer to lead Generative AI initiatives, building and deploying large-scale multimodal models for document understanding and structured data extraction in a cloud-based production environment. The role focuses on developing state-of-the-art LLM and vision systems that process text, images, and 3D data to drive real business impact. It combines technical leadership with hands-on model development and scalable ML engineering. 🗂️ Requirements: Bachelor’s degree in Computer Science, Machine Learning, AI or related field, 5+ years of experience in machine learning or data science, Deep expertise in generative models, LLMs or computer vision, Experience with large-scale language and vision models, Hands-on experience with multimodal data (text, images, 3D), Proficiency in Python, Experience with PyTorch or TensorFlow, Strong knowledge of probability, statistics and optimization, Experience deploying ML models in cloud microservice architecture, Strong software engineering skills (OOP, testing, version control, CI/CD, IaC), U.S. Citizenship or Green Card holder 📃 Skills: Python, PyTorch, TensorFlow, pandas, NumPy, Transformers, GPT, VLM, AWS, Terraform, CI/CD, OOP, LLM, ComputerVision, GenerativeAI, Statistics, Optimization 🏢 Description: 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 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-HybridXometry 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.

🏢 Summary: Senior Machine Learning Engineer role focused on advancing AI and ML capabilities within a large-scale digital platform. The position involves researching, prototyping, and deploying state-of-the-art machine learning solutions to improve cost prediction, pricing, and sourcing models. The role combines hands-on model development, cloud-native engineering, and technical leadership in a production ML environment. 🗂️ Requirements: 5+ years building large-scale ML-driven user-facing products, 3+ years leading cross-team engineering initiatives, Experience with state-of-the-art ML techniques (transformers, self-supervised learning, generative models, LLMs), Hands-on experience training and deploying models at scale, Experience with large-scale data processing, Proficiency with deep learning frameworks, Experience with containers and container orchestration, Experience with distributed systems, Strong knowledge of OOP, design patterns, refactoring, and testing, Experience with Infrastructure as Code, Strong SQL and/or NoSQL knowledge, Experience designing databases and performing data analysis, Experience building and maintaining CI/CD pipelines, Proficiency with Unix/Linux systems, US Citizenship or Green Card (ITAR requirement) 📃 Skills: Python, PyTorch, TensorFlow, Transformers, LLMs, Docker, Kubernetes, SQL, NoSQL, CI/CD, Linux, IaC, DistributedSystems, OOP, Git 🏢 Description: 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 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-HybridXometry 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.

🏢 Summary: Senior Manager of Product Design role leading a team of designers within strategic product and technology organizations, accountable for delivery quality, execution readiness, and team performance. The position requires hands-on leadership, strong partnership with Product and Engineering, and driving high-quality, unambiguous design outputs aligned with AI-assisted workflows and design systems. The offer includes a competitive base salary with commission and comprehensive benefits. 🗂️ Requirements: 10+ years of experience in user research, 2+ years managing researchers or design professionals, Proven track record of driving product decisions through research, Experience collaborating closely with Product and Engineering teams, Experience in fast-paced, product-driven environments, Portfolio demonstrating AI-assisted workflows, Experience with design systems and component-based design, Experience with B2B, marketplace, or operational platforms, Experience scaling teams or processes 📃 Skills: UX, UserResearch, InteractionDesign, DesignSystems, ComponentBasedDesign, AI, Prototyping, Accessibility, Usability, E-Verify 🏢 Description: Xometry is looking for a Senior Manager of Product Design to lead a team of designers within one or more Strategic Product and Technology Organizations (STOs). You are accountable for delivery, quality, and team performance. This is not a coordination role. You are responsible for ensuring your team delivers clear, high-quality, executable design work on time, with no surprises through leadership and hands-on execution. You will partner with Product and Engineering leadership to shape direction, enforce standards, and remove ambiguity. Responsibilities Lead and develop a team of designers (Senior and mid-level) Set clear expectations for ownership, quality, and communication Hold designers accountable for outcomes, not just outputs Address performance issues directly and quickly Own design delivery across your team (quality, pacing, predictability) Ensure work is complete, structured, and ready for Engineering Enforce a clear definition of done Surface risks and tradeoffs early Partner with Product and Engineering to define scope and priorities Ensure UX is influencing direction, not reacting to requirements Resolve ambiguity and alignment issues quickly Ensure design outputs are structured and unambiguous Support workflows that enable AI-assisted development Drive adoption of tools and practices that improve speed and reduce rework Maintain a high bar for interaction design, usability, and consistency Ensure alignment with design systems and accessibility standards Lead design reviews focused on clarity and execution readiness Qualifications 10+ years of experience in user research, including 2+ years managing researchers Proven track record of driving product decisions through research Experience working closely with Product, Design, and Engineering teams Strong ability to translate insights into clear recommendations Experience operating in fast-paced, product-driven environments Excellent communication and storytelling skills Examples of AI-assisted workflows in portfolio (e.g., AI-generated prototypes, prompt-driven design systems, AI-supported research synthesis) Experience with B2B, marketplace, or operational platforms Experience working with design systems and component-based design Exposure to AI-assisted design or development workflows Experience scaling teams or processes in growing organizations The estimated base salary range for new hires into this role is $180,000-$200,000.00 annually + commission 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. 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.