Data Scientist, Wireless Machine Learning

**Weekly Hours:** 40 **Role Number:** 200619297-0836 **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. 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. **Description** 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. **Minimum Qualifications** + 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 **Preferred Qualifications** + 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 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .