- At Wireless Technologies & Ecosystems (WTE) team, we are looking for a motivated
- and curious intern to join our team working at the intersection of cellular software test
- engineering and applied AI/ML automation. The intern will work alongside engineers
- to explore, prototype, and apply the latest AI/ML tools and techniques to solve real
- problems in modem/cellular test automation, log analysis, and defect triage. The ideal
- candidate is not just familiar with AI/ML concepts from coursework but has hands-on
- experience building and experimenting with current-generation tools - LLM APIs,
- agentic frameworks, RAG pipelines, and NLP libraries - and is eager to bring that
- curiosity to a fast-evolving, high-impact engineering domain.
- If you are a student who lives at the cutting edge of AI/ML - always experimenting
- with the newest models, frameworks, and techniques - and want to apply that
- curiosity to solve real, high-impact problems in cellular software testing, this
- internship offers a rare opportunity to work at the intersection of two fast-moving fields.
- You'll gain hands-on experience with production test systems while helping shape how
- AI/ML transforms the way we test and validate next-generation connectivity products.
- Prototype LLM-powered tools and agentic workflows to automate or accelerate
- test execution, results analysis, defect triage, or findings summarization
- Experiment with the latest AI/ML models, frameworks, and techniques (agentic
- frameworks, RAG, prompt engineering) and evaluate their applicability to end-to-end
- test automation
- Build small proof-of-concept NLP pipelines for test initiation, monitoring, log
- parsing, root cause analysis and extracting important insight that drive corrections /
- changes in future test campaigns
- Collaborate with engineers to integrate promising AI/ML prototypes into existing test
- tooling
- Present findings and demos on new AI/ML techniques explored during the internship,
- contributing to the team's understanding of emerging trends
- Learn cellular technologies testing strategies and automation workflows for modem/
- cellular testing under the guidance of senior engineers.
- Currently pursuing a Master’s / PhD degree in Computer Science, Computer Science
- Engineering, or a related field
- Strong proficiency in Python, including scripting, OOP fundamentals, and clean
- coding practices
- Hands-on project experience (academic, personal, hackathon, or research) applying
- LLMs, NLP, or generative AI - not just theoretical coursework knowledge
- Good experience with prompt engineering, RAG pipelines, knowledge graphs or fine-
- tuning concepts
- Practical exposure to at least one agentic framework or tool-orchestration pattern
- (LangChain, LangGraph, AutoGen, MCP, or similar), through projects or self-study.
- Basic understanding of C/C++/Objective C/SwiftUI or a comparable programming
- language
- Understanding of data structures, algorithms, and problem-solving fundamentals
- Exposure to REST APIs and SQL/NoSQL databases
- Interest in or coursework exposure to communication technologies (LTE, 5G NR) or
- modem/embedded systems would be an added advantage
- Experience with Git and collaborative version control workflows
- Good analytical and debugging skills, with the ability to work collaboratively in a team
- environment
- Genuine curiosity about staying current with the latest AI/ML tools, models, and
- research, and translating that into applied engineering solutions.
Job description provided by Apple.
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