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Salary
≈ $55k – $95k per year (Estimated)
Location
In office (Munich)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 6, 2026. Apple scores B on the Alion truth index.

Overview
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Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

Wireless Technologies & Ecosystems (WTE) team is looking for an intern with passion for SW Development, Data Engineering, Statistical Analysis and Machine Learning, all applied to 4G/5G cellular domains. Our team develops and maintains solutions for mining cellular data and performance metrics to improve overall product quality and customer experience. We are a multidisciplinary team covering different competences including cellular engineering, data pipelining, data engineering, data science, data analytics, software development and machine learning. If you’re passionate about SW engineering, data analytics and applying ML models on crowd source data, then we have the job for you.

Description

Developing SW solutions to enhance data analytics capabilities by addressing data collection pain points and providing solutions to optimise wireless/cellular communication. The ideal candidate will design & develop agentic workflows, as well as Data & AI/ML powered wireless features.

Minimum Qualifications

M.S. or PhD in Computer/Electrical Engineering, Computer Science/Informatics or equivalent.

Solid knowledge and hands-on experience designing and implementing agentic workflows and multi-agent systems

Solid software engineering skills in a multi-language environment (Python is a must, ObjectiveC, Swift and Java are optional)

Experience with data mining / data analysis and data visualization

Experience in applying machine learning algorithms to understand real-world data, data collection, model training & model evaluation

Preferred Qualifications

Experience in developing applications for iOS

Knowledge in database and data manipulation (SQL), as well as experience with time series analysis to discover patterns over time

Good understanding of cloud methodologies

Ability to quickly learn new development environments and APIs

Comfortable with quick context switching between several projects

Excellent debugging and problem solving skills

Team player

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