- Apple
- Munich, BY
- 4 days ago
Internship - Software Engineering - Wireless Data Science.
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
Internship - Software Engineering - Wireless Data Science: our view in 3 lines...
- The Role:An internship focused on software engineering, data science and machine learning for wireless and cellular data analysis.
- The Person:The person will develop software solutions, build data and AI or ML workflows, and use cellular data and performance metrics to improve wireless features and product quality.
- Requirements:The ideal candidate has solid software engineering skills in Python, experience with data mining and data analysis, and experience in applying machine learning algorithms.
About the role
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

