Currently pursuing Master/PhD in Computer Science, Artificial Intelligence, Data Science, or similar.
Proven software engineering skills in complex, multi-language systems, ideally proficient in Python and C.
Proven expertise in machine learning with a passion for data-centric ML.
Nice to Haves
Proven expertise in anomaly detection using AIML algorithms
Proficiency in Python and C, ideally embedded C
Basic Embedded SW and Real-Time OS (RTOS) concepts
Familiarity with Large Language Model (LLM)
Demonstrated problem-solving aptitude and strong learning agility, with a proactive mindset and eagerness to quickly adapt to new technologies and concepts.
What You'll Be Doing
This project builds on proven success of offline system behavioural analysis, where pre-trained AI/ML models successfully predicted anomalous system behaviour.
In this project, we plan to deploy previously studied AI/ML techniques and algorithms on embedded devices.
These models will run in real-time, continuously monitoring and analysing system behaviour to anticipate possible anomalies and automatically trigger suitable recovery actions to ensure system stability.
Perks and Benefits
Join Apple's Wireless Technologies and Ecosystems organization and drive innovation that matters.
Work as part of the Cellular, Connectivity and Satellite team to build solutions for cutting-edge wireless technologies.
Contribute to building an AI-powered system for intelligent system monitoring and recovery.
Opportunity to work on innovative projects in a fast-paced environment with dynamic, inspiring people and industry-defining technologies.