Apple • Cupertino, CA 95015
Job #2663522640
Software Engineer - Analytics and Applied ML
Cupertino,California,United States
Software and Services
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. On Device ML powered features you develop improve wireless connectivity performance and enable new wireless applications. Telemetry frameworks you build will enable analytics, diagnostics, product experimentation, and model training.
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
Understanding of and passion for data analytics & product quality
Experience with scalable & cross layer system design is a plus
Experience prototyping and shipping customer facing on-device ML powered features on embedded systems
Experience delivering ML powered software features / applications as Software Engineering lead
Strong understanding of machine learning fundamentals and NLP & LLM powered software application / features
Solid Understanding of model complexity / performance trade-offs for on-device ML
Experience building cross-layer telemetry collection frameworks on-device is a plus
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
Additional Requirements
Pay & Benefits
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