AIML - Software Engineering Intern, Siri & Information Intelligence

Beijing February 25, 2026 Apple Custom Ats

Summary

The people here at Apple don’t just build products - we build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us make the world better than we found it. The Information Intelligence team is looking for young talent with a combination of programming skills, passion, and a creative mentality. We expect you are a great teammate who can collaborate with engineers in several technical areas developing technologies and crafting experiences that revolutionize the way people interact with the world around them.

Description

This role will collaborate closely with experts or engineers at Information Intelligence. You will receive hands-on mentorship and guidance throughout the project exploration, as well as gaining significant experience in software engineering and natural language processing. We anticipate you could use your deep knowledge to tackle meaningful technical problems, transfer your ideas into solutions in the next generation of Siri product.

Minimum Qualifications

Expertise in various facets of artificial intelligence, machine learning and computer science Familiarity with Python, Go is required Currently pursuing a Masters or PhD degree in Computer Science, with a specialization in Machine Learning, Natural Language Processing (NLP), Robotics, Software Engineering, or related fields IMPORTANT: minimum 3 months internship commitment

Preferred Qualifications

Good programming skills with proven experience in large-scale distribution system Creative, collaborative, and innovation focused IMPORTANT: 6 months commitment is preferred, starting no later than March 2026
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How to Get Hired at Apple

  • Apple's custom ATS requires extra attention to resume formatting and keyword optimization — don't assume standard ATS tricks will work identically
  • Tailor every application to the specific role and team — with many open positions across vastly different functions, generic applications are unlikely to succeed
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