AI/ML Engineer (GenAI), Wireless Technologies & Ecosystems
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 19, 2026. Apple scores B on the Alion truth index.
Join the Wireless Technologies and Ecosystems (WTE) organization and be part of a best-in-class team of engineers, working with multi-functional teams to drive innovation and develop products used by millions worldwide. We are looking for an individual who can excel in a high-paced environment. Be ready to make something extraordinary when you come here. Dynamic, encouraging people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same real passion for innovation also applies to our business practices - strengthening our dedication to leave the world better than we found it. You should join Apple if you want to help deliver the next amazing Apple product.
Description
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
PhD 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)
Extensive understanding and experience with Agentic workflows, 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 and protocols like MCP, A2A
Proficiency in python scripting for data analysis and visualization & Tools development
Preferred Qualifications
Excellent analytical and debugging skills
Effective communication skills, particularly with technical content.
Highly organized, creative, self-motivated, and passionate about achieving results.