WTE - Wireless Software Engineer - SWE in München bei Apple

Apple

Summary

Posted: Sep 12, 2021

Weekly Hours: 40

Role Number:200284734

Wireless Technologies & Ecosystems (WTE) team is looking for an outstanding data scientist with a passion for statistical analysis, product experimentation, building predictive models, and designing end to end frameworks to gather analytical insights. The team is responsible for cellular product data analytics. 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 data analytics and applying ML models on crowd source data, then we have the job for you.

Key Qualifications

Proven experience applying machine learning algorithms to understand real-world data
Solid software engineering skills in a multi-language environment (Python, Java, Objective C, Swift)
Experience with data mining / data analysis and data visualization
Experience in developing applications for iOS
Knowledge in database and data manipulation (SQL)
Ability to quickly learn new development environments and APIs
Comfortable with quick context switching between several projects
Excellent debugging and problem solving skills
Good data storytelling and communication skills to both technical and non-technical audiences
Great teammate
Understanding of wireless systems is a plus

Description

- Use crowd source data to extract crucial information that can be provided to devices. This information is used by the device to optimize wireless/cellular communication - Build A/B test framework and schedule product experimentation campaigns to benchmark performance of different features/algorithms - Improve data analytics automation by detecting and predicting trends (take data from both SQL and non-SQL databases) - Build and improve Apple’s anomaly detection and root causing framework to identify pre and post launch software performance issues in a timely manner - Apply various predictive models and deploy ML based models in Apple products - Interface with various technology teams within the product development organization, onboarding different technology domains to centralized anomaly detection framework and present analytical insights

Education & Experience

Masters or PhD Degree in Computer Science/Informatics, Computer/Electrical Engineering or equivalent