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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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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.

Related Field

  • AI & Machine Learning

Related Subfield

  • 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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