New offer - be the first one to apply!
July 10, 2026
AI Builder Fellowship
Junior • On-site
North Bethesda, MD
Hybrid role with onsite work in Waltham, MA or North Bethesda, MD.
1-year full-time opportunity with potential conversion to permanent employment.
Competitive compensation and full benefits from day one.
The Premise
Custom manufacturing is a $275B industry that still runs on phone calls, spreadsheets, and faxed drawings. Xometry is turning quotes, supplier matching, and production into an AI-first software product.
The Machine Shop is a founding cohort of 5–8 elite builders embedded in product and engineering pods shipping agentic workflows, ML quoting models, and vision-based quality tools for aerospace, defense, and medical clients.
Who We Are Looking For
- Public builders with side projects and shipped work
- Self-taught candidates effectively using AI tools
- Early-career engineers seeking rapid production deployment experience
What We Expect
- Built and deployed AI projects that can be demonstrated end-to-end
- Comfort using AI-assisted coding tools for rapid iteration
- Working knowledge of Python and modern scripting environments
- U.S. work authorization without sponsorship requirements
Application Process
- Submit Your Build: Provide a 5-minute Loom video, GitHub repository, and summary of lessons learned.
- Review & Selection: Finalists are selected by builders and AI leadership.
- Onsite Build Day: Present projects and complete a live build exercise using the AI stack.
- Offer Timeline: Offers are extended within 24 hours of Build Day.
- Cohort Start: Candidates begin onboarding and shipping production code in September.
Compensation and Benefits
The estimated base salary range is $105,000-$125,000 annually depending on experience, skills, and location.
- 401(k) match
- Medical, dental, and vision insurance
- Life and disability insurance
- Paid time off and holidays
- Maternity and bonding leave
- Employee assistance and wellbeing resources
Equal opportunity employment and E-Verify participation apply for U.S.-based roles.
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🏢 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.
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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. 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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. 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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. 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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.
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140,004 - 230,004 USD/yr
🏢 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.
Technology

Xometry
Senior Application Engineer, CNC Machining
Senior
On-site
North Bethesda, MD
86,004 - 111,000 USD/yr
🏢 Summary: Senior Application Engineer role focused on CNC machining, responsible for technical quoting, cost estimation, supplier sourcing, and production planning to ensure on-time, high-quality manufacturing. The position requires deep expertise in multi-axis CNC processes, design for manufacturability, and interpreting engineering models and drawings. The engineer supports customers and internal teams with technical analysis, costing, and machining strategy. 🗂️ Requirements: Minimum 7 years of experience in CNC machining quoting environment, Proficiency in CAD and solid model manipulation, Experience with 3/4/5-axis milling and CNC turning, Experience programming and setting up CNC machines, Knowledge of GD&T, Experience with cost estimation for prototype and production runs, Ability to read and interpret engineering drawings and blueprints, Experience reviewing RFQs and defining manufacturing processes, Knowledge of tooling, materials, and finishing processes, Experience providing DFM feedback 📃 Skills: CNC, CAD, GD&T, Milling, Turning, EDM, Welding, Grinding, Costing, Tooling, Blueprints, DFM, RFQ, Manufacturing, Inspection 🏢 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 looking to add an Senior Application Engineer, CNC Machining. The role is responsible for client quoting, supplier sourcing, production planning, and supporting on-time order fulfillment. A successful candidate will have at least 7 years of experience in a CNC machining quoting environment. The position will require competencies that include CAD proficiency, CNC machining/manufacturing experience (which includes multiple axis milling, turning, welding, grinding, EDM etc.), experience communicating CNC designs for manufacturability feedback, costing, and sound technical communication aptitude. Day to Day Responsibilities: Analyze engineering models/drawings to define the sequence of manufacturing operations to ensure that the design intent and component quality can be achieved. Make proper estimations, taking into consideration such factors as materials, tooling, manufacturing times, inspection times, and types of equipment required. Work closely with Machinists, Quality, Engineering, Management, and other team members to successfully satisfy the end customer. Experience with sourcing material and finishes. CNC machining/manufacturing cost estimating experience on prototype, low volume, and high-volume quantities. Must Have Knowledge of: Multitude of CNC machining/manufacturing technologies Must have experience and/or extensive knowledge with programming and set up of CNC machines (3/4/5 axis milling, CNC lathes, live tooling lathes, Swiss machines etc) and simple custom tooling knowledge. Preferable knowledge of welding, grinding, wire EDM, assemblies, finishing etc. Geometric Dimensioning and Tolerance (GD&T) Protocols, standards, technologies, and machining applications. Reviewing customer RFQs to determine material requirements, processing and job routing. Communicating with customers to accurately define requirements and expectations. Work with outside vendors/services to achieve the best possible prices and solutions. Consolidating all outside costs and internal costs associated with process time in engineering, manufacturing, finishing, and QC. Creating detailed quote packages for final review. Managing quote logs daily and KPI tracking Ability to: Interrogate engineering solid models, drawings and is familiar with Geometric Dimensioning and Tolerancing (GD&T). Manipulate / modify solid models. Provide technical support to machinists and process engineers during CNC manufacturing operations. Demonstrate excellent organizational discipline. Communicate effectively, both verbally, and in writing. Read and interpret blueprints, technical drawings, and specifications. Effectively review and analyze DFM (design for manufacturing) problems. Operate effectively in a team environment. The estimated base salary range for new hires into this role is $86,000 - $111,000 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. #LI-Hybrid 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.