Machine Learning Engineering Intern

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Siemens

10,001+ employeesMunichAutomation Machinery Manufacturing
Actively hiringPaidRemote-friendlySummer 2027Automation Machinery Manufacturing
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Best applied by Nov 21

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About the role#

We are looking for a Machine Learning Engineering Intern to join our team for the Summer 2027 term. You will work alongside our engineers to build, test, and ship machine learning systems that improve asset and operations management. We value candidates who approach problems with logical rigor, whether your background is in engineering, philosophy, mathematics, or related fields.

What you'll do#

  • Build and maintain data pipelines for model training.
  • Train, fine-tune, and evaluate machine learning models.
  • Write clear reports on model performance and results.
  • Design evaluation methods and test cases to identify model limitations.
  • Write production-quality Python code that integrates with our existing systems.
  • Deploy and monitor models to track accuracy and performance after launch.
  • Present your project work at the end of the internship.

What you'll need#

  • Current enrollment in a master's degree program.
  • Professional software engineering experience, a bachelor's degree in a logic-focused discipline (such as Engineering, Philosophy, Theology, or Mathematics), or a recognized programming certification.
  • Working proficiency in Python.
  • Comfort with foundational mathematics, specifically linear algebra, probability, and basic statistics.
  • The ability to explain complex arguments clearly in both writing and conversation.

Location & details#

  • This is a full-time, paid internship running for 10 weeks between May 2027 and August 2027.
  • The role is hybrid. You will work onsite in Raleigh, North Carolina, for your first week of onboarding and then transition to fully remote work for the remainder of the term.
  • Applicants must be legally authorized to work in the United States without employer sponsorship.

About Siemens

Siemens is a technology company based in Munich and Berlin. It focuses on automation machinery manufacturing for sectors such as infrastructure, industry, mobility, and healthcare. The company integrates physical and digital systems to support sustainability and efficiency initiatives. It also maintains a majority stake in Siemens Healthineers.

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