Data Scientist, Wireless Machine Learning

Apple • Cupertino, CA

75d

About The Position

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. The Wireless Software team is looking for an exceptional software engineer to deploy ML experiences and develop sophisticated 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 the wireless experience across all Apple products. In this role, you'll be responsible for shipping exciting Wireless features powered by Data & Machine Learning. Your work will encompass the entire ML lifecycle, from secure and efficient data collection to model training and deployment on devices, utilizing state-of-the-art Apple AI/ML frameworks.

Requirements

• 8+ years of professional experience delivering ML-powered software features & applications.
• Working experience in Neural Networks including Deep Reinforcement Learning, Transformer, Transfer Learning, Online Learning, CNN, RNN.
• Professional background in wireless technologies such as cellular (5G/6G) and connectivity (WIFI/BT) standards/protocols.
• Ability to work well both independently and within a team.
• Excellent communication and presentation skills.

Responsibilities

• Deploy ML experiences and develop telemetry frameworks for wireless products.
• Build ML-powered features and analytics frameworks for analytics, diagnostics, and product experimentation.
• Track, analyze, and improve the wireless experience across all Apple products.
• Manage the entire ML lifecycle from data collection to model training and deployment.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees