Remote ML Engineering Intern — Summer 2027

Siemens AG; Raleigh; Hybrid; CAD 57,000 - 66,000; Full time

Job summary

Siemens AG invites applications for a Machine Learning Engineering Intern for Summer 2027. The 10-week internship runs May to August 2027. The role is remotely based within the United States with an initial onsite week in Raleigh, NC, followed by full remote work.

Candidates must be enrolled in a master's program and demonstrate strong Python and ML fundamentals. You'll collaborate with ML engineers to build, evaluate, and ship ML systems, write reports, and deploy models.

Qualifications

• Current enrollment in a master's degree program for the full duration of the internship.
• One of: professional software engineering experience or a bachelor's degree in Engineering, Philosophy, Theology, Mathematics, or other logic-focused discipline or a programming certification.
• Working proficiency in Python.
• Comfort with linear algebra, probability, and basic statistics.
• Ability to explain a complex argument clearly in writing and conversation.

Responsibilities

• Build and maintain data pipelines that clean, label, and prepare datasets for model training.
• Train, fine-tune, and evaluate machine learning models, and write clear reports on what worked and why.
• Design evaluation methods and test cases that expose where a model's reasoning breaks down.
• Write production-quality Python code, with tests and code review, that ships with the engineering team.
• Help deploy and monitor models, tracking accuracy, drift, and failure cases after launch.
• Present your work to the team in a final project showcase at the end of the internship.

Skills

Python

ML concepts

Data pipelines

Writing reports

Logical thinking

Education

Master's student

Tools

PyTorch

TensorFlow

scikit-learn

Git

SQL

Linux

Job description

Siemens AG invites applications for a Machine Learning Engineering Intern for Summer 2027. The 10-week internship runs May to August 2027. The role is remotely based within the United States with an initial onsite week in Raleigh, NC, followed by full remote work.

Candidates must be enrolled in a master's program and demonstrate strong Python and ML fundamentals. You'll collaborate with ML engineers to build, evaluate, and ship ML systems, write reports, and deploy models.