Wireless Systems AI/ML Engineer, Wireless Technologies & Ecosystems

Apple’s Wireless Systems Analysis team is seeking talented, highly motivated and disciplined Engineer to work across layers on groundbreaking wireless technologies. You will be responsible for building next generation AI Agents, Tools & services for analyzing Connectivity/Cellular functional & performance issues for future Apple product lines with emphasis on improving the overall user experience in terms of performance. You will have the opportunity to make a significant, organization-wide impact by tackling and resolving complex technical challenges that shape the future of automated analysis of SW bugs from various wireless technologies at Apple using advanced AIML tools. Development of advanced system evaluation and debugging capabilities is required on an as needed basis. As part of this team, you will impact iPhone, iPad & Mac user experience worldwide. Minimum Qualifications Masters in Computer Science (or related fields) or equivalent experience Expert in ML frameworks (PyTorch or TensorFlow), with hands-on experience in building out complete ML pipelines (data, model, implementation, optimization, benchmarking & evaluation) Hand-on experience using Gen AI, LLMs and ML models to solve real problems at scale Expertise with advanced Gen AI techniques, such as RAG, Agent Orchestration, Context Management, Prompt Engineering Proficiency in python scripting for data analysis and visualization & Tools development Strong understanding in one of WiFi, Bluetooth, Thread or related protocols Excellent analytical and debugging skills Effective communication skills, particularly with technical content. Highly organized, creative, self-motivated, and passionate about achieving results. Preferred Qualifications PhD in Computer Science (or related fields) or equivalent experience Excellent communication and interpersonal skills for collaborating with a technical team. Strong Analytical and problem-solving skills, with the ability to debug complex issues and communicate findings effectively Excellent attention to details with the passion to deliver high-quality work on tight schedule