AI Builder Fellowship

🏢 Summary: One-year hybrid AI builder fellowship focused on shipping production-grade agentic workflows, ML quoting models, and vision-based quality tools for manufacturing clients. The role targets early-career engineers and builders with hands-on AI project experience who can work quickly using AI-assisted development tools. Compensation includes full benefits from day one with potential conversion to a permanent role. 🗂️ Requirements: 1–3+ years of experience, Built and deployed AI applications end-to-end, Ability to demo real AI projects, Experience with AI-assisted coding tools, Working knowledge of Python or modern scripting environments, U.S. work authorization without sponsorship 📃 Skills: Python, AI, GitHub, ML, VisionAI, Scripting 🏢 Description: Location: Hybrid (3 days/week onsite in Waltham, MA or North Bethesda, MD) Duration: 1 Year, Full-Time (with potential conversion to permanent FTE) Compensation: Competitive salary + full benefits from the beginning Application Window: July 9 - July 26 The Premise Custom manufacturing is a $275B industry that still runs on phone calls, spreadsheets, and faxed drawings. Xometry is the marketplace turning quotes, supplier matching, and production into an AI-first software product. The Machine Shop is a founding cohort of 5–8 elite builders. The role is deeply embedded in product and engineering pods shipping agentic workflows, ML quoting models, and vision-based quality tools to real aerospace, defense, and medical clients who measure success in microns. Who We Are Looking For (Craft over Credentials) - Public builders with side projects and real shipped work - Self-taught candidates using AI tools effectively - Early-career engineers seeking rapid production deployment experience What We Expect - Built and deployed something real with AI that can be demonstrated end-to-end - Comfortable using AI-assisted coding tools to iterate at high velocity - Working knowledge of Python and/or modern scripting environments - U.S. work authorization without current or future sponsorship How to Apply 1. Submit Your Build: July 9 - July 26 Submit a 5-minute Loom video explaining a project, a GitHub repository link, and a short summary of lessons learned. 2. Review & Selection: July 27 - August 5 Submissions are reviewed directly by builders and AI leadership. Approximately 25 finalists advance. 3. Onsite Build Day: August 13 Attend a live onsite session in Waltham, MA or North Bethesda, MD. Candidates present their projects and complete a live build exercise using the company AI stack. 4. Offer the Next Day: August 14 Selected candidates receive offers within 24 hours. 5. Cohort Starts: September 8 Successful candidates onboard and begin shipping production code within three weeks. Compensation and Benefits The estimated base salary range is $105,000-$125,000 annually depending on experience, skills, and location. Benefits include: - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Paid time off, vacation, sick leave, floating and fixed holidays - Maternity and bonding leave - Employee assistance and wellbeing resources Equal opportunity employment and E-Verify participation apply for U.S.-based roles.

🏢 Summary: One-year hybrid AI Builder Fellowship (with potential FTE conversion) for early-career engineers to ship production-grade AI workflows, ML quoting models, and vision-based quality tools within a digital manufacturing marketplace. Selected candidates join a small elite cohort embedded in product and engineering teams, delivering agentic AI solutions to aerospace, defense, and medical clients. The program emphasizes rapid iteration, weekly production releases, and hands-on building over formal credentials. 🗂️ Requirements: 1–3 years of professional experience, Demonstrated end-to-end AI project deployed and demo-ready, Working knowledge of Python or modern scripting languages, Experience using AI-assisted coding tools, Ability to present GitHub repository and project demo, U.S. work authorization without current or future sponsorship 📃 Skills: Python, AI, MachineLearning, VisionAI, GitHub, Scripting, E-Verify 🏢 Description: Location: Hybrid (3 days/week onsite in Waltham, MA or North Bethesda, MD) Duration: 1 Year, Full-Time (with potential conversion to permanent FTE) Compensation: Competitive salary + full benefits from Day 1 Application Window: June 24 – July 15, 2026 The Premise Custom manufacturing is a $275B industry that still runs on phone calls, spreadsheets, and faxed drawings. The marketplace transforms quotes, supplier matching, and production into an AI-first software product. The Machine Shop The Machine Shop is a founding cohort of 5–8 elite builders embedded directly in product and engineering pods. Participants ship agentic workflows, ML quoting models, and vision-based quality tools to aerospace, defense, and medical clients who measure success in microns. Builders are expected to contribute to production systems immediately rather than follow a traditional learning track. Who We Are Looking For (Craft over Credentials) - The Public Shipper: Side projects with real users and demonstrable output. - The Non-Traditionalist: Self-taught using AI tools with a strong portfolio of real work. No CS degree required. - The Early-Career Accelerator: 1–3 years of experience seeking faster production impact and fewer bureaucratic barriers. What We Expect - Built and deployed a real AI project that can be demonstrated end-to-end. - Comfortable using AI-assisted coding tools for rapid iteration. - Working knowledge of Python and/or modern scripting environments. - U.S. work authorization without current or future sponsorship. How to Apply (5 Steps, Zero Resumes) 1. Submit Your Build (June 24 – July 15): Provide a 5-minute Loom video explaining a completed project, a GitHub repository link, and a short reflection on lessons learned. 2. Review & Selection (July 15 – July 31): Submissions reviewed by builders and AI leadership; approximately 25 finalists advance. 3. Onsite Build Day (August 6, 2026): Present your project and complete a live build challenge on the AI stack. 4. Offer the Next Day (August 7, 2026): Offers extended within 24 hours of Build Day. 5. Cohort Starts (By August 24, 2026): Onboarding begins with production code shipping within two weeks. Benefits - Competitive salary - Full benefits from Day 1 - Potential conversion to permanent full-time employment Additional Information Participation in E-Verify is required after offer acceptance to confirm U.S. work authorization.

🏢 Summary: Staff Software Engineer role focused on building and improving core AI/ML infrastructure and data platforms supporting marketplace products such as quoting and computational geometry services. The position involves cloud infrastructure design, distributed systems, ML engineering, and collaboration with AI leadership to drive scalable and reliable solutions. 🗂️ Requirements: 5+ years of experience in software engineering, machine learning engineering, cloud architecture, or similar roles, Bachelor’s degree in Computer Science, AI, Machine Learning, or related field, Understanding of parallel and distributed computing, version control, reproducibility, and continuous integration, Experience designing and deploying cloud infrastructure for data-intensive AI/ML applications, Experience with Infrastructure as Code using Terraform, Experience designing and implementing REST APIs, Proficiency in Python programming, Experience with multimodal data processing, Experience with AWS microservices including SageMaker, IAM, Lambda, CloudWatch, ECR, EKS, and Kinesis, Experience with Docker and Kubernetes, US Citizenship or Green Card required 📃 Skills: Python, Terraform, AWS, SageMaker, IAM, Lambda, CloudWatch, ECR, EKS, Kinesis, Docker, Kubernetes, REST, CI, Git, Microservices 🏢 Description: Xometry is seeking a Staff Software Engineer to join its core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to improve and extend the foundational infrastructure leveraged by AI/ML solutions, including the Instant Quoting Engine®, the Computational Geometry Service, and other data products powering the marketplace. This is a high-visibility, hands-on role focused on innovation, ownership, and delivery of core platform capabilities. How You'll Contribute: - Operational Excellence: Guarantee the delivery of superior infrastructure and software while aligning with strategic business timelines - Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization - Code Review: Conduct code reviews and mentor others regarding best practices in machine learning and software engineering - Collaborative Strategy: Partner with product managers, engineers, and leadership to support open communication and integrated team dynamics What You'll Bring: - At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similar - Bachelor’s degree required; advanced degree in computer science, machine learning, AI, or related field preferred - Understanding of software engineering principles including parallel and distributed computing, version control, reproducibility, and continuous integration - Experience designing and deploying cloud infrastructure, preferably AWS, for data-intensive AI/ML applications with scalability, reliability, and security considerations - Experience with Infrastructure as Code, especially Terraform - Experience with REST API design and implementation - Experience with object-oriented and functional programming in Python - Experience with multimodal data processing including text, image, and 3D data - Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, CloudWatch, ECR, EKS, and Kinesis - Experience with containerization technologies including Docker and Kubernetes - Strong communication and collaboration skills across technical and leadership teams - Experience in manufacturing or supply chain industries is a plus - Must be a US Citizen or Green Card holder (ITAR) Compensation and Benefits: - Estimated base salary range: $160,000 – $180,000 annually plus annual bonus - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Generous paid time off including vacation, sick leave, holidays, maternity, and bonding leave - Employee assistance and wellbeing resources Xometry is an equal opportunity employer. For US-based roles, the company participates in E-Verify and will confirm employment authorization after hire.

🏢 Summary: Staff Software Engineer role focused on building and improving AI/ML infrastructure and data platforms that power large-scale manufacturing marketplace products. The position involves cloud infrastructure design, ML platform engineering, distributed systems, and collaboration with AI leadership to deliver scalable and reliable solutions. 🗂️ Requirements: 5+ years of experience in software engineering, machine learning engineering, cloud architecture, or similar roles, Bachelor’s degree in Computer Science, AI, Machine Learning, or related field, Understanding of parallel and distributed computing, Experience with version control and continuous integration, Experience designing and deploying cloud infrastructure for data-intensive AI/ML applications, Experience with Infrastructure as Code using Terraform, Experience designing and implementing REST APIs, Strong programming skills in Python, Experience with multimodal data processing, Experience with AWS microservices, Experience with Docker and Kubernetes, US Citizen or Green Card holder 📃 Skills: Python, AWS, Terraform, REST, Docker, Kubernetes, SageMaker, IAM, Lambda, Cloudwatch, ECR, EKS, Kinesis, Git, CI/CD 🏢 Description: We are looking for a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to improve and extend the foundational infrastructure leveraged by Xometry's AI/ML solutions, including the Instant Quoting Engine®, the Computational Geometry Service, and other data 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. How You'll Contribute: - Operational Excellence: Guarantee the delivery of superior infrastructure and software, while aligning with the strategic business timelines - Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization - Code Review: You will do code review and mentor others within the organization regarding best practices in ML and Software Engineering - Collaborative Strategy: Forge strong partnerships with product managers, engineers, and company leadership to promote a culture of open communication and integrated team dynamics What You'll Bring: - At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similar - 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 - Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration - Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support data intensive applications, including AI/ML solutions, with considerations for scale, reliability and security - Strong technical expertise in: - 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) - 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 - Experience in the manufacturing, supply chain, or similar industries is a plus - Must be a US Citizen or Green Card holder (ITAR) Benefits: - Base salary range: $140,000 - $230,000 annually plus annual bonus - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Generous paid time off including vacation, sick leave, holidays, maternity and bonding leave - Employee assistance and wellbeing resources Xometry is an equal opportunity employer. For US based roles, participation in E-Verify is required after job offer acceptance.

🏢 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: Account Executive II role focused on converting inbound leads, managing existing customer accounts, and driving sales growth in the manufacturing marketplace. The position involves full-cycle sales, customer relationship management, technical presentations, and collaboration with sales engineering teams for prototyping and low-volume production projects. Includes base salary plus commission and comprehensive benefits in a hybrid work environment. 🗂️ Requirements: 3+ years of quota-carrying full-cycle sales experience, Experience in high-volume inbound sales, Proficiency with Google Suite, Proficiency with Microsoft Office Suite, Experience with Zoom, Experience with WebEx, Experience with GoToMeeting, CRM experience with Salesforce or similar systems, Strong negotiation skills, Ability to work in a fast-paced high-growth environment, Bachelor's degree in Business, Marketing, Communications, or related field, Ability to work onsite 3 days per week 📃 Skills: Salesforce, GoogleSuite, MicrosoftOffice, Zoom, WebEx, GoToMeeting, CRM, Sales, Negotiation 🏢 Description: Xometry 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. As an Account Executive II, you will be responsible for managing and converting inbound leads into loyal customers as well as managing an existing book of business. You will serve as a key point of contact for customers guiding them through the sales process and ensuring a seamless experience from initial contact to deal closure. This is an exciting opportunity for a driven individual with a passion for sales and a desire to grow within a dynamic organization. How You'll Contribute: - Building relationships, projecting company values of trust, service, and honesty, identifying strategic long-term clients, and ultimately securing substantial and repeatable orders - Develop business with existing and new inbound customers - Create and actively manage plans to reach specific sales objectives, profitable growth, and market share/image improvement - Assist customers in selecting the best rapid manufacturing technology for their development projects - Be the contact person for all new projects related to prototyping and low volume production - Provide guidance to our sales engineering team to develop quotes based on specific customer needs. Ensure new customer requirements are collected and made available for internal departments to initiate project management - Deliver technical presentations at customer seminars and industry events - Collect and report industry trends, competitor information, customer events What You'll Bring to Xometry: - At least 3+ years of sales experience in a quota carrying full cycle sales role - Experience in a high volume inbound sales role - Proficiency in programs such Google Suite, Microsoft Office Suite, Zoom/WebEx/GoToMeeting - CRM experience with Salesforce or similar systems required - Strong negotiation skills and results driven - High energy with positive attitude to comfortably engage with and sell to customers - Ability to work well in a fast-paced high growth environment - Bachelor's degree in Business, Marketing, Communications, or a related field required - Ability to work onsite 3 days a week The estimated base salary range for new hires into this role is $54,000-$70,000 annually + commission depending on factors such as job-related skills, relevant experience, and location. Benefits: - 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 and wellbeing resources 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.

🏢 Summary: Account Executive II role focused on converting inbound leads, managing existing customer accounts, and driving sales growth in the manufacturing marketplace. The position involves full-cycle sales, customer relationship management, technical solution guidance, and collaboration with sales engineering teams. Offers competitive salary, commission, benefits, and a hybrid onsite work arrangement. 🗂️ Requirements: 3+ years of quota-carrying full-cycle sales experience, Experience in high-volume inbound sales, Proficiency with Google Suite, Proficiency with Microsoft Office, Experience with Zoom, Experience with WebEx, Experience with GoToMeeting, CRM experience with Salesforce or similar systems, Strong negotiation skills, Ability to work in a fast-paced high-growth environment, Bachelor's degree in Business, Marketing, Communications, or related field, Ability to work onsite 3 days a week 📃 Skills: Salesforce, GoogleSuite, MicrosoftOffice, Zoom, WebEx, GoToMeeting, CRM, Sales, Negotiation 🏢 Description: Xometry 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. As an Account Executive II, you will be responsible for managing and converting inbound leads into loyal customers as well as managing an existing book of business. You will serve as a key point of contact for customers guiding them through the sales process and ensuring a seamless experience from initial contact to deal closure. This is an exciting opportunity for a driven individual with a passion for sales and a desire to grow within a dynamic organization. How You'll Contribute: - Building relationships, projecting company values of trust, service, and honesty, identifying strategic long-term clients, and ultimately securing substantial and repeatable orders - Develop business with existing and new inbound customers - Create and actively manage plans to reach specific sales objectives, profitable growth, and market share/image improvement - Assist customers in selecting the best rapid manufacturing technology for their development projects - Be the contact person for all new projects related to prototyping and low volume production - Provide guidance to our sales engineering team to develop quotes based on specific customer needs - Ensure new customer requirements are collected and made available for internal departments to initiate project management - Deliver technical presentations at customer seminars and industry events - Collect and report industry trends, competitor information, customer events What You'll Bring: - At least 3+ years of sales experience in a quota carrying full cycle sales role - Experience in a high volume inbound sales role - Proficiency in programs such Google Suite, Microsoft Office Suite, Zoom/WebEx/GoToMeeting - CRM experience with Salesforce or similar systems required - Strong negotiation skills and results driven - High energy with positive attitude to comfortably engage with and sell to customers - Ability to work well in a fast-paced high growth environment - Bachelor's degree in Business, Marketing, Communications, or a related field required - Ability to work onsite 3 days a week Benefits: - Base salary range of $54,000-$70,000 annually plus commission - 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 and wellbeing resources 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.

🏢 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: 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.