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Home›Jobs›Xometry›Machine Learning Intern
Xometry

About Xometry

On-demand manufacturing powered by AI technology

🏢 Tech👥 251-1K📅 Founded 2013📍 Rockville, Maryland, United States

Key Highlights

  • Public company (NASDAQ: XMTR) since 2021
  • Over 30,000 customers including BMW and NASA
  • Network of 4,000+ suppliers nationwide
  • $200M+ raised from investors like Greenspring Associates

Xometry is a leading AI-enabled marketplace for on-demand manufacturing, headquartered in Rockville, Maryland. The company connects over 30,000 customers, including Fortune 100 firms like BMW and NASA, with a network of more than 4,000 suppliers. Xometry has raised over $200 million in funding and w...

🎁 Benefits

Employees enjoy competitive salaries, stock options, flexible remote work policies, generous PTO, and a comprehensive health benefits package....

🌟 Culture

Xometry fosters a technology-driven culture that emphasizes innovation and efficiency in manufacturing, encouraging employees to leverage AI and data ...

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Xometry

Machine Learning Intern

Xometry • North Bethesda, Maryland

Posted 2w agoEntry-LevelMachine learning intern📍 Maryland
Apply Now →

Skills & Technologies

PythonMachine learningData analysis

Overview

Xometry is seeking a Machine Learning Intern to work on real-world projects that enhance their AI-driven solutions. You'll collaborate with experienced engineers and gain hands-on experience in model building and deployment. This role is ideal for driven college students eager to make an impact in the manufacturing industry.

Job Description

Who you are

You are a driven college student eager to make a real impact at a cutting-edge technology company. You have a foundational understanding of machine learning concepts and are excited to apply your knowledge in a practical setting. Your analytical skills allow you to work with large datasets, extracting meaningful patterns and insights that can drive business decisions. You are a collaborative team player, ready to work alongside experienced machine learning engineers and contribute to innovative projects. You are open to learning and applying best practices in model evaluation, performance tuning, and deployment, and you are enthusiastic about gaining exposure to the latest machine learning frameworks and tools used in the manufacturing industry.

Desirable

Familiarity with programming languages such as Python is a plus, as well as any experience with data analysis or machine learning frameworks. A passion for technology and a desire to learn more about the manufacturing sector will help you thrive in this role.

What you'll do

As a Machine Learning Intern at Xometry, you will design, build, and optimize machine learning models that enhance our platform and business operations. You will analyze large datasets to extract meaningful patterns and insights that can inform our AI-driven solutions. Collaborating with cross-functional teams, you will integrate machine learning models into production systems, ensuring they operate effectively and efficiently. You will learn and apply best practices in model evaluation, performance tuning, and deployment, gaining hands-on experience that will be invaluable in your future career. Throughout your internship, you will receive mentorship from experienced professionals who will guide you in your development and help you navigate the challenges of real-world projects.

What we offer

Xometry offers a dynamic culture where you can embrace a collaborative environment that fosters learning and growth. You will have the opportunity to work on impactful projects that directly contribute to our AI-driven solutions. Our internship program is designed to provide you with the skills and experience necessary to succeed in the technology and manufacturing industries. You will be part of a team that values innovation and creativity, and you will have the chance to make a real difference in the work we do. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of every candidate to grow and succeed.

Interested in this role?

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