Software Engineer - Analytics and Applied ML

Apple Inc

Cupertino, CA

Job posting number: #7223959 (Ref:apl-200540516)

Posted: February 29, 2024

Job Description

Summary
Join our Wireless Technologies and Ecosystems (WTE) organization to be part of an outstanding team of engineers passionate about driving innovation and enriching experiences for millions of customers worldwide. Wireless Software team is looking for an exceptional software engineer to enable / deploy ML experiences and develop sophisticate telemetry frameworks for wireless products. ML powered features & analytics frameworks you build enable analytics, diagnostics, product experimentation, modem performance & usage characterization and anomaly identification / mitigation techniques to track, analyze and improve wireless experience of Apple products.
Key Qualifications
  • 5+ years of professional software engineering experience, ideally working on Applied Machine Learning
  • Strong object-oriented programming experience in C++, Objective C or Swift
  • Strong understanding of machine learning fundamentals
  • Understanding of and passion for data analytics & product quality
  • Experience prototyping and shipping customer facing features on embedded systems
  • Experience with scalable & cross layer system design is a plus
  • Experience delivering ML powered software features / applications
Description
Design and deploy ML applications for optimized wireless experience on iOS products. Build scalable solutions to spark the potential of telemetry for data mining and anomaly & trend detection algorithms. Develop on device and crowd sourced learning frameworks to improve Wireless product experience. Deploy and maintain Machine Learning models on-device using tools like Core ML needed for cellular features. Use cellular product experimentation and A/B testing frameworks to validate machine learning model deployments. Design and develop Analytics module running on iOS that aggregates and correlates information across the cellular software stack.
Education & Experience
M.S / PHD in Computer/Electrical Engineering, Computer Science or equivalent
Pay & Benefits




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