Data Scientist, Wireless Machine Learning

Apple • Cupertino, CA

90d • $147,400 - $272,100

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.

Requirements

• 5+ years of professional experience developing Machine Learning models for commercial products
• Strong proficiency in Python and ML frameworks like PyTorch for data pre-processing, ML model training, and fine-tuning
• Strong understanding of Machine Learning Fundamentals, LLM / NLP Concepts
• Understanding of and passion for data/AI-powered software features and product quality
• Experience prototyping and shipping customer-facing features on embedded systems
• Experience with scalable and cross-layer system design

Nice To Haves

• 8+ years of professional experience delivering ML-powered software features & applications
• Working experience in one or more of the following domains in Neural Networks: Deep Reinforcement Learning, Transformer, Transfer Learning, Online Learning, CNN, RNN etc
• 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

• Design and deploy Machine Learning models for optimized wireless experience on Apple products leveraging tools like CoreML, CreateML, and PyTorch
• Develop on-device and crowd-sourced learning frameworks to improve wireless product experience
• Use product experimentation and A/B testing frameworks to validate machine learning model deployments
• Design and develop Analytics module running on-device to aggregate and correlate features across the wireless software stack

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• Reimbursement for certain educational expenses — including tuition
• Discretionary bonuses or commission payments
• Relocation assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree