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 in the custom manufacturing space. The role targets early-career engineers with hands-on AI project experience who can rapidly build and deploy solutions using modern coding and AI-assisted development tools. Includes competitive salary, full benefits from day one, and potential conversion to a permanent full-time role. 🗂️ Requirements: 1–3+ years of hands-on development experience, Built and deployed a real AI project end-to-end, Ability to demonstrate live projects or GitHub work, Experience with AI-assisted coding tools, Working knowledge of Python or modern scripting environments, U.S. work authorization without current or future sponsorship, Ability to work onsite 3 days per week in Waltham, MA or North Bethesda, MD 📃 Skills: Python, AI, MachineLearning, VisionAI, GitHub, 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 turning quotes, supplier matching, and production into an AI-first software product. The Machine Shop is a cohort of 5–8 builders deeply embedded in product and engineering teams shipping agentic workflows, ML quoting models, and vision-based quality tools to aerospace, defense, and medical clients. Who We Are Looking For - Public builders with real-world side projects and shipped products - Self-taught or non-traditional candidates with demonstrable work - Early-career engineers looking to ship production code frequently What We Expect - Built and deployed something real with AI 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 1. Submit Your Build: July 9 - July 26 Provide a 5-minute Loom video explaining a project, a GitHub repository link, and a short explanation of lessons learned. 2. Review & Selection: July 27 - August 5 Submissions are reviewed by engineering and AI leadership. Approximately 25 finalists advance. 3. Onsite Build Day: August 13 Attend an onsite event in Waltham, MA or North Bethesda, MD. Present a project and participate in a live build exercise using the company AI stack. 4. Offer the Next Day: August 14 Selected candidates receive an offer within 24 hours. 5. Cohort Starts: September 8 Onboarding begins with immediate contribution to production code. The estimated base salary range for new hires into this role is $105,000-125,000 annually depending on factors such as job-related skills, relevant experience, and location. Benefits include: - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave - Employee assistance and wellbeing resources Equal opportunity employer. Employment eligibility verification required 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: Summer Software Engineering Internship focused on building and improving scalable solutions for a digital manufacturing platform. The role involves contributing to real-world projects, collaborating with engineers, and applying best practices in software development within an agile environment. This is a full-time, temporary, onsite internship during summer 2026. 🗂️ Requirements: Currently enrolled in an accredited college or university, Graduating in December 2026 or May 2027, Minimum 3.5 GPA, Ability to work full-time (40 hours/week) from June 8 to August 14, 2026, Ability to work onsite at least 3 days per week in North Bethesda, MD or Waltham, MA, Legal authorization to work in the United States, Provide unofficial transcript, Knowledge of software development fundamentals, Ability to participate in agile development processes 📃 Skills: SoftwareDevelopment, Testing, VersionControl, Debugging, CodeOptimization, Agile, ScalableSystems, Frameworks, Tools 🏢 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.Are you a driven college student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry. As a Software Engineering Intern at Xometry, you'll work on real-world projects that directly impact our platform, collaborate with experienced engineers, and learn how to apply your technical skills to solve complex problems in a dynamic and fast-paced environment. What You'll Do: Contribute to the design, development, and testing of scalable software solutions that power Xometry's platform. Collaborate with cross-functional teams to identify and resolve technical challenges. Learn and apply best practices in software development, including version control, debugging, and code optimization. Participate in team meetings, code reviews, and agile development processes. Gain exposure to modern technologies, frameworks, and tools used in the manufacturing industry. What We Offer: Mentorship: Learn from experienced professionals and receive guidance from a dedicated intern captain. Dynamic Culture: Embrace a fast-paced, collaborative environment that values innovation and flexibility. Professional Development: Gain practical skills in digital marketing, social media, content marketing, and more. What We're Looking For: Academic Excellence: Currently enrolled in an accredited college or university, graduating in December 2026 or May 2027, with a minimum 3.5 GPA. Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026). Excellent Communication Skills: Strong verbal and written communication skills. Entrepreneurial Spirit: A passion for problem-solving and a desire to drive results. Legal Authorization: Ability to provide proof of legal right to work in the United States. Location Requirement: Ability to commute to our North Bethesda, MD or Waltham, MA office to work onsite for at least 3 days a week. Provide Unofficial Transcript The estimated base pay rate for new hires into this role is $27.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position. #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: Technical Quality Engineering role focused on building and scaling AI-powered test automation and quality self-service systems across engineering teams. The position centers on developing AI-driven E2E testing tools, automated failure analysis, and scalable release quality standards to enable engineers to own quality independently. It combines hands-on test automation, AI tooling development, and cross-team technical enablement in a rapidly evolving environment. 🗂️ Requirements: Experience building AI-powered tools or automations in production environments, Experience designing and implementing automated test strategies across unit, integration, and E2E levels, Hands-on experience with end-to-end test automation using Python and Playwright or equivalent, Ability to design and maintain scalable, reliable automated test frameworks, Experience integrating automation and analysis tools into CI pipelines, Experience coaching engineers on testing practices and improving team-owned quality, Ability to operate effectively in ambiguous, fast-changing environments 📃 Skills: Python, Playwright, AI, LLM, RAG, CI, Automation, Testing, E2E, UnitTesting, IntegrationTesting 🏢 Description: Location: Hybrid 2 days per week, based in Warsaw (Czackiego 15/17). We're open to candidates based outside Warsaw, provided the 2-day commitment is realistically sustainable from where you live. Please don't treat this as a starting point for negotiation - we value the structure and consistency it brings and we want you to see the value in it too. If you're based further away, we'll assume openness to relocation is part of the conversation. About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the team Quality Engineering at hx is undergoing a strategic shift. We're moving from an embedded model, where QEs sit in product teams and deliver hands-on testing, to an enablement model, where a small central team builds the tools, standards, and coaching that help every engineer own quality. It's one of hx's boldest engineering experiments: making quality genuinely self-service without sacrificing the rigour our customers rely on. The team sits at the intersection of test automation, AI tooling, release readiness, and organisational change. We're building AI-powered systems that make end-to-end test creation accessible to all engineers, automate failure classification and routing, and provide the standards, guidance, and feedback loops teams need to make better quality decisions independently. That means shaping quality strategy, improving release risk assessment, and establishing lightweight, scalable processes for staging, deployment, and learning from failure. This is strategic work with company-wide impact, requiring technical depth, strong technical judgement, coaching capability, and comfort with ambiguity. As the third member of this newly formed team, you'll join at a pivotal moment. You'll contribute to the managed transition away from embedded QE support, take ownership of AI-powered automation tools still being defined, and build the foundations that allow hx to scale quality across dozens of engineering teams. Your work will shape whether teams can ship independently, whether release processes stay fast and trusted as we grow, and whether hx can maintain velocity without compromising reliability. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you'll be doing Accelerate the development and adoption of hx's AI-powered end-to-end test writing agent, improving its accuracy and framework coverage to the point where at least 15 engineers across 5+ teams are independently writing E2E tests within six months of widespread release. Design and deploy an AI-powered nightly build analyser that automatically classifies test failures and routes them to owning teams, reducing daily manual review effort by 80% and proving reliable enough to extend to the release pipeline. Establish quality self-service foundations for product teams by delivering test design guidance, executable E2E framework documentation (as AI agent specifications), quality standards references, and release risk assessment templates that enable at least three teams to complete release assessments without direct QE involvement. Support the managed withdrawal of QE support from embedded product teams by contributing to fixed-scope deliverables that ensure no critical gaps in E2E coverage or delivery confidence, enabling both current QEs to transition on schedule with no unplanned regressions. Grow E2E test coverage across the organisation through coaching, pairing, and AI tooling support, increasing the number of product teams writing their own E2E tests to at least 50% within the first 12 months. Build credibility and influence across engineering teams by working alongside engineers to solve real quality challenges, demonstrating the value of team-owned quality through concrete examples rather than process mandates, and making quality ownership feel like teams' own goal rather than an external requirement. What you'll need to have done Built AI-powered tools or automations in production environments (e.g., prompt engineering, agent design, RAG pipelines, or CI-integrated analysis), demonstrating the ability to design solutions others rely on rather than just using AI assistants as coding aids. Designed and implemented automated test strategies across multiple test levels (unit, integration, E2E) for complex systems, making sound judgements about what to test at which level and communicating those trade-offs clearly to non-specialist engineers. Owned end-to-end test automation using Python and Playwright (or equivalent frameworks), writing clean, maintainable tests with clear patterns that other engineers can extend, including experience managing flaky test suites and establishing conventions for new automation from scratch. Coached or enabled engineering teams to improve their testing practices through hands-on pairing and mentoring, demonstrating measurable improvements in team capability such as increased test coverage, reduced manual testing dependencies, or improved release confidence. Influenced quality improvements across teams you didn't directly manage, building credibility through practical demonstration and making benefits concrete rather than relying on process mandates or formal authority. Operated effectively in environments characterised by ambiguity and rapid change, taking ownership of problems from identification through to iterative solution, and adapting approach based on feedback without losing momentum. You're unlikely to thrive here if You prefer clearly defined processes and established playbooks over building the systems and standards from first principles in a rapidly evolving environment. You're more comfortable being the person who delivers quality work directly rather than enabling others to build that capability themselves, or you measure success primarily by your own output rather than what teams can achieve independently. You view AI tools with scepticism or aren't genuinely curious about how to apply them practically to solve real engineering problems, or you're unwilling to learn new languages and frameworks as the problem demands. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits Depending on how you choose to join hx (B2B or UoP), your benefits can look like: B2B Share Options at a highly successful Series B company. 25 days of non-working + 14 Polish bank holidays. £5,000 budget for Learning & Development. Mental Health Support and Therapy via Spectrum Life. Optional for you: access to Healthcare package provided by Luxmed + Multisport (fully funded by yourself as B2B Contractor). Top-spec laptop (MacOS or Windows). Contract of employment (UoP) Share Options at a highly successful Series B company. £5,000 budget for learning & development. 26 days of holiday + 14 Polish bank holidays. Company pension. 10 days company sick pay at 100% salary, thereafter in line with labour law. Mental health support and therapy via Spectrum Life. Monthly wellbeing allowance via Juno. Healthcare package provided by Luxmed. Multisport card at Classic level. Top-spec work equipment (MacOS / Windows + additional monitors, mechanical keyboards etc). Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Brain Embassy . Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Talent Partner Screen Hiring Manager Interview Technical Assessment (e.g., code review, system design) Values Interview with Tech Leadership (60 minutes). We Offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page.

🏢 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: 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.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 to Xometry: 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. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following Infrastructure as Code (IaC), especially Terraform REST API design and implementation Object oriented and functional programming in Python Multimodal data processing (e.g., combining text, image, and 3D data) Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis Containerization technologies (Docker and Kubernetes) Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors Experience in the manufacturing, supply chain, or similar industries is a plus Must be a US Citizen or Green Card holder (ITAR) The estimated base salary range for new hires into this role is $140,000- $230,000 annually + 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: 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 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 (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 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 to Xometry: 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 similarr 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. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following Infrastructure as Code (IaC), especially Terraform REST API design and implementation Object oriented and functional programming in Python Multimodal data processing (e.g., combining text, image, and 3D data) Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis Containerization technologies (Docker and Kubernetes) Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors Experience in the manufacturing, supply chain, or similar industries is a plus Must be a US Citizen or Green Card holder (ITAR) The estimated base salary range for new hires into this role is $160,000 – $180,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-Hybrid #PromotedXometry 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 Account Executive role focused on driving revenue growth within federal and defense accounts by selling technical manufacturing products and services. The position involves managing complex government procurement processes, building relationships with engineering and procurement stakeholders, and developing new business opportunities in the manufacturing sector. Candidates should have strong federal acquisition experience, sales expertise, and proficiency with CRM and presentation tools. 🗂️ Requirements: 7+ years of federal acquisition experience, 2+ years of quota-carrying sales experience, 2+ years selling technical products or services in manufacturing, Knowledge of government contracting and procurement processes, Understanding of FAR and DFARS regulations, Bachelor's degree in Business, Engineering, or related field, Ability to travel 30-50%, CRM experience with Salesforce or similar systems, Proficiency with Google Suite, Microsoft Office Suite, Zoom, WebEx, or GoToMeeting, Strong negotiation and presentation skills 📃 Skills: Salesforce, FAR, DFARS, CRM, Google, Microsoft, Zoom, WebEx, GoToMeeting, Sales, Procurement, Manufacturing, Engineering 🏢 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. The Senior Account Executive will be responsible for prospecting, qualifying and generating new business for existing federal and defense customers. This will include developing an understanding of their need for prototype parts through to sustainment needs. You will demonstrate a higher understanding of our value proposition and grow the B2G segment of our business. This role is ideal for candidates who are achievement-oriented and will think outside-the-box to exceed annual sales goals through strong collaboration with partners and internal stakeholders. The ideal candidate is success-driven, is capable of multi-tasking, can lead a cross-functional team, and enjoys a dynamic and evolving environment. In this role, you will be an integral part of the Xometry sales team, spending your days in constant communication with teammates, internal stakeholders, and customers, all while developing or strengthening a deep understanding of the 50 billion dollar addressable market within the U.S. for custom manufacturing. How You'll Contribute: - Sales of technical products and services to defense and federal customers - Strategic revenue growth of federal customers - Initiating and building relationships with engineering staff, program management, procurement and executive management - Setting up sales calls for company executives and engineers with prospective clients and qualify potential leads - Possess an understanding of the complex federal procurement and contracting processes, including the Federal Acquisition Regulation (FAR) and Defense Federal Acquisition Regulation Supplement (DFARS) - Work with technical staff and other internal colleagues to meet customer needs - Ensure that data is accurately entered and managed within the company's CRM or other sales management system - Ensure all team members represent the company in the best light - Ability to propose winning solutions and negotiate contract terms - Participate in ongoing training and mentoring programs - Understand the company's goal and purpose to continually enhance the company's performance - Performs all work in compliance with Xometry's quality and safety systems, policies and procedures What You'll Bring to Xometry: - 7+ years of experience in federal acquisition, either in government or in industry; Navy or Air Force experience preferred - 2+ years of sales experience in a closing and quota carrying role - 2+ years of experience selling technical products or services in the manufacturing space - Knowledge of government contracting and procurement processes - Demonstrated knowledge of manufacturing or engineering preferred - Ability to travel up to 30-50% of the time - High proficiency with in-person and virtual presentations with customers - Proficiency in programs such as Google Suite, Microsoft Office Suite, Zoom, WebEx, GoToMeeting - CRM experience with Salesforce or similar systems - Prospecting and sales planning skills - Excellent communication and presentation skills - Strong negotiation skills and results driven - Ability to work well in a fast-paced high growth environment - Bachelor's degree required in Business, Engineering, or related field or equivalent years of experience in the field The estimated base salary range for new hires into this role is $125,000-$135,000 annually plus commission depending on factors such as job-related skills, relevant experience, and location. Benefits include: - 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 - Employee assistance program 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.