Intern

Summary

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.

Minimum Qualifications

Solid software engineering skills in a multi-language environment (Python, ObjectiveC, Swift, Java) 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

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 Data & AI/ML powered wireless features.

Responsibilities

Building data collection solutions and applying various predictive models and deploy ML based models in Apple products. Interfacing with various technology teams within the product development organization, onboarding different technology domains to unleash the potential of data mining for behavioral analytics, performance analytics and anomaly detection.