Summary Posted: Oct 30, 2023 Weekly Hours: 40 Role Number: 200516279 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. Key Qualifications Key Qualifications Proven software engineering skills in a multi-language environment (Python, ObjectiveC, Swift, Java) Experience with data mining/ data analysis and data visualization 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 Comfortable with quick context switching between several projects Excellent debugging and problem solving skills Experience in applying machine learning algorithms to understand real-world data is a plus Understanding of wireless cellular systems and 5G in particular is a plus Description Description Developing SW solutions to enhance data analytics capabilities by addressing data collection pain points and providing solutions.
Innovating solutions to optimise wireless/cellular communication.
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. Education & Experience Education & Experience Pursuing M.S. or PhD in Computer/Electrical Engineering, Computer Science/Informatics or equivalent. Additional Requirements Additional Requirements
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