AIML - ML Platform Engineer (Apple Ecosystem), Data Intelligence Platform

As a member of the AIML team, you will design, implement and ship a scalable, reliable, and easy-to-use machine learning platform and tools that will be used by Apple product teams. You will also collaborate with teams across Apple, who are building the new, compelling intelligent applications in the world. You bring a strong hands-on mentality that enables you to own engineering projects from inception to shipping product. You will also be a trusted advisor for best practice machine learning development. Minimum Qualifications Bachelor’s degree or above in Computer Science or equivalent experience 10+ years of experience in industry-leading companies Strong software development skills, with proficiency in Swift / C++ / Python Experienced in building, deploying, and running Machine Learning applications or services Experience working with a very large scale of data, familiar with data processing frameworks like Spark Solid technical understanding in machine learning, deep learning, computer vision, natural language processing, or artificial intelligence Strong written and verbal communication skills in both Chinese and English Preferred Qualifications Solid knowledge in LLM inference stacks, and hands-on experiences in latency optimization, e.g. attention/KV-cache optimization, GPU profiling, memory bandwidth analysis, multi-GPU scaling across diverse accelerator architectures etc Expertise and hands-on experiences in Confidential Computing, e.g. hardware attestation, confidential VM, TEE, secure enclave etc Hands-on iOS/macOS development experiences A real passion for delivering secure and high-performance AI inference platforms at scale Excellent problem-solving and debugging skills Creative, collaborative & product-focused