Operation Test Engineer - Machine Learning

Imagine what you could do here. At Apple, extraordinary ideas can become phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourage the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. With the growth of Apple, we have built new opportunities for individuals to work on the most exciting new products introduced by Apple. We are seeking individuals who meet the following criteria to join us. This position will require frequent traveling to the manufacturing site and working closely with the various engineers to support the needs of the operational team.

Description

Responsible for leading ML and LLM-based tool and solution development to increase test engineers working efficiency and empower end-to-end optimization of test procedure.
Interact with internal groups at Apple to ensure a synchronization on the understanding of solution expectation and sufficient cross-team cooperation to secure a successful delivery.
This position requires ability to deal with dynamic and fast-paced environment requiring decision-making with ambiguous informatio

Minimum Qualifications

BS or MS degree in computer science/Automation/Mechanical or Electronics Engineering.
Proven hands-on experience in modern machine learning pipelines and architectures.
Mastering data collection, machine learning modeling development, and run-time challenges.
Good experience or knowledge on manufacturing test or process at mass production.
Good communication skills with proficient spoken and written in both English and Chinese.

Preferred Qualifications

Aspiration and experience in quickly picking up domain knowledge including product technology and test metrology , exploring, designing and implementing ML solutions to solve realistic pain points.
Excellent analytical and problem solving skills.
Proven track record to work in a quick changing environment, independently and to deliver high quality solutions to tight schedules.
ML solution experience within or related to manufacturing industry
Solid experience in multiple ML areas, including but not limited to parametric data mining, time series analysis and prediction, anomaly detection, Large-Language-Model (LLM) tuning, prompt engineering, Retrieval Augmented Generation (RAG) solution optimization and Agent framework.