Description
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.
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.
Key Responsibilities
Building agentic workflows for general automation purposes.
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.
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
Apple