Internship - Software Engineering - Wireless Data Science

Job Description:

Wireless Technologies \u0026 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 \u0026 develop agentic workflows, as well as Data \u0026 AI/ML powered wireless features.\",\"responsibilities\":\"Building agentic workflows for general automation purposes.\\nBuilding data collection solutions and applying various predictive models and deploy ML based models in Apple products.\\nInterfacing 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.\",\"preferredQualifications\":\"Experience in developing applications for iOS\\nKnowledge in database and data manipulation (SQL), as well as experience with time series analysis to discover patterns over time\\nGood understanding of cloud methodologies\\nAbility to quickly learn new development environments and APIs\\nComfortable with quick context switching between several projects\\nExcellent debugging and problem solving skills\\nTeam player\",\"minimumQualifications\":\"M.S. or PhD in Computer/Electrical Engineering, Computer Science/Informatics or equivalent.\\nSolid knowledge and hands-on experience designing and implementing agentic workflows and multi-agent systems\\nSolid software engineering skills in a multi-language environment (Python is a must, ObjectiveC, Swift and Java are optional)\\nExperience with data mining / data analysis and data visualization\\nExperience in applying machine learning algorithms to understand real-world data, data collection, model training \u0026 model evaluation\\n