SWE - Software Engineer Intern, Wireless Analytics - WTE
at Apple
München, Bayern, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 02 Feb, 2025 | Not Specified | 02 Nov, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
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OPT | H4 Spouse of H1B |
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Employment Type:
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Permanent | Independent - 1099 |
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Description:
SUMMARY
Posted: Oct 29, 2024
Weekly Hours: 40
Role Number:200571715
Wireless Technologies & Ecosystems (WTE) team is looking for an intern with a 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 competencies 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 improve data analytics capabilities by addressing data collection difficulties and providing solutions. Innovating solutions to optimize wireless/cellular communication. Building data collection solutions applying various predictive models and deploying ML-based models in Apple products. Collaborating with various technology teams within the product development organization, onboarding different technology domains to ignite the potential of data mining for behavioral analytics, performance analytics, and anomaly detection.
- Proven software engineering skills in a multi-language environment (Python, Objective-C, Swift, Java)
- Experience with data mining/ data analysis and data visualization
Experience in developing applications for iOSKnowledge in database and data manipulation (SQL), as well as experience with time series analysis to discover patterns over time
PREFERRED QUALIFICATIONS
- 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
- Understanding wireless cellular systems and 5G, in particular
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - DBA / Datawarehousing
Software Engineering
Graduate
Proficient
1
München, Germany