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Staff Machine Learning Engineer - Generative AI

Xometry

Lexington, KY

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Business Growth, Cloud Architecture, Cloud Computing, Communication Skills, Computer Science, Computer Vision, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Processing, Data Science, Data Sets, Deep Learning, Diversity, Documentation Models, Engineering, Federal Government, Fortune 1000 Customers, Machine Learning, Manufacturing, Mentoring, Microservices, Modeling Languages, Object Oriented Programming (OOP), Python Programming/Scripting Language, Software Engineering, Source Code/Configuration Management (SCM), Statistics, Structured Data, Supply Chain, Technical Drawing, Testing, Training/Teaching, United States Citizen
LOCATION
Lexington, KY
POSTED
30+ days ago
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 Engineerto 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, m odel architecture, and best practices, elevating the entire team.- Stay ahead- Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.Qualifications:- Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.- 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.- Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).- Hands-on experience with multimodal data (text, images, 3D).- Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).- Solid grounding in probability, statistics, and optimization for generative modeling.- Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).- Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).- A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.- Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more.- Must be a U.S. Citizen or Green Card holder (ITAR compliance)#LI-HybridXometry is an equal opportunity employer. All applicants will be considered for employment without attention to r ace, color, r eligion, s ex, s exual 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.Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to r ace, color, r eligion, s ex, s exual orientation, gender identity, national origin, veteran, or disability status.

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Xometry

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