How do I apply for the Software Engineering Intern (Machine Learning & AI Workflows) position at Apple and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Software Engineering Intern (Machine Learning & AI Workflows) role?

This position is a not disclosed, structured as a not disclosed role.

What educational background or degree level is required for the Software Engineering Intern (Machine Learning & AI Workflows) at Apple?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master, PhD.

Does Apple provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Software Engineering Intern (Machine Learning & AI Workflows)

Apple

Found 2 weeks ago

Location

Munich, Germany

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

2 weeks ago

Education

Bachelor
Master
PhD

Skills & Qualifications

Technical Skills

Python
PyTorch
machine learning fundamentals
ML training loops
AI coding assistants
agentic workflows
deep learning research
hardware integration

Soft Skills

Excellent communication and collaboration skills.

Job Description

This position requires a highly motivated individuals who wants to push what can be done for machine learning model development, analysis, and deployment using AI workflows. Your goal will be to be a force multiplier for the team. You will be responsible for building debugging tools, accelerating machine learning training loops, and pushing forward what is possible with AI workflows. Potential internship areas include: Designing and implementing AI-driven workflows and agentic systems to automate and improve internal engineering processes. Building AI centered debugging and visualization workflows. Building scalable, high-quality software architecture to support deep learning research and hardware integration.

Requirements

Currently pursuing a bachelors, masters, or PhD degree in Computer Science, machine learning, or a related field.
At the end of the internship, you must return to school to continue your education, or the internship must be the last requirement for you to graduate.
Very strong software engineering skills with fluency in Python
Solid understanding of machine learning fundamentals, with hands-on familiarity in PyTorch and writing ML training loops.
Practical experience utilizing AI coding assistants and agentic workflows.
Excellent communication and collaboration skills.

AI & Machine Learning

Applied Machine Learning

Nice to Haves

Contributions to open source projects
Familiarity with distributed training, GPU optimization, and ML infrastructure.
Strong experience with CI/CD and testing frameworks.
Previous industry experience in software engineering, MLOps, or AI tooling is a strong plus.
Experience with C++/Obj-C

Apply Now

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