Machine Learning Platform Intern
Boston, MA
Xometry
Xometry is a leader in high-precision production part and prototyping manufacturing on demand. Get instant quotes on CNC machining, 3D printing, sheet metal fabrication, laser cutting, and more.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.
Machine Learning Platform Internship – Summer 2025Location: Lexington, KY, North Bethesda, MD, or Boston, MA (Hybrid)
Internship Duration: June 9 – August 15, 2025
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 rapidly evolving world of digital manufacturing.
We're looking for a passionate and talented Machine Learning Engineer Intern to join our Machine Learning Platform team!
What You’ll Do
As a Machine Learning Engineer Intern at Xometry, you will work on projects that directly impact our manufacturing processes and customer experience. You’ll be part of an innovative environment, gaining hands-on experience with the latest cloud technologies in support of enterprise data science efforts.
Your responsibilities will include:
- Contributing to research and design of our enterprise machine learning platform
- Developing and extending APIs leveraged by multiple machine learning models and the Xometry application
- Building pipelines and systems in AWS to support MLOps best practices
- Collaborating with engineers and domain experts to understand business needs and translate them into effective solutions
- Presenting your findings and insights to the team
Ideal candidates are pursuing a degree in:
- Computer Science
- Machine Learning
- Artificial Intelligence
- Or a related field
What We Offer
- Mentorship – Learn from experienced machine learning engineers and receive guidance from a dedicated intern captain
- Dynamic Culture – Join a fast-paced, collaborative environment that values innovation and flexibility
- Professional Development – Gain hands-on experience in machine learning, data analysis, and software development within a real-world manufacturing context
What We’re Looking For
- Academic Excellence – Currently enrolled in an accredited college or university, graduating in December 2025 or May 2026, with a minimum 3.5 GPA
- Technical Skills – Strong experience with:
- Programming languages: Python, Go
- API frameworks: FastAPI, REST
- Cloud computing platforms: AWS, Azure, GCP
- Machine learning algorithms (regression, classification, clustering) and ML libraries (scikit-learn, TensorFlow, PyTorch) – a plus
- Strong Work Ethic – Ability to work full-time (40 hours/week) during the internship period
- Communication Skills – Strong verbal and written communication skills, with the ability to explain complex technical concepts clearly
- Problem-Solving Mindset – Passion for solving problems and driving results
- Legal Authorization – Must provide proof of legal right to work in the U.S.
- Location Requirement – Must be able to commute to our Lexington, KY, North Bethesda, MD, or Boston, MA office at least 3 days a week
#LI-Hybrid
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 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.
Tags: APIs AWS Azure Classification Clustering Computer Science CX Data analysis FastAPI GCP Machine Learning ML models MLOps Pipelines Python PyTorch Research Scikit-learn TensorFlow
Perks/benefits: Career development
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