The Hardware team features a collaborative environment with creative, smart talents, world-class products and cutting-edge technologies. The team provides opportunities for individuals to contribute across a wide spectrum of disciplines. Best-in-class engineering excellence and thoroughness are expected and encouraged. Innovation is highly supported and valued. Pushing the envelope to design and ship innovative products with best-in-class technologies and user experiences are the main goals of the Hardware Test Engineering (HWTE) team.
This individual will play a key role in Machine Learning tools design and development to enable advanced anomaly reasoning and core manufacturing models. You will work closely with cross-functional groups to ensure the success of current and future Apple products.
Minimum Qualifications
Currently pursuing a BS, MS, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Vision, or a related field.
Available to join internship for 3-6 months full-time.
Solid foundation in machine learning algorithm development and data architecture, with deep knowledge of traditional ML algorithms and deep learning frameworks (PyTorch, TensorFlow).
Strong programming skills in Python and ML libraries.
Self-motivated, responsible, with excellent written and verbal interpersonal skills.
Preferred Qualifications
Experience with Large Language Models (LLMs), prompt engineering, and multimodal data integration.
Familiarity with computer vision and image processing for anomaly detection.
Experience in data analysis, pipeline optimization, and system latency reduction.
Familiarity with version control (Git), PRs, and collaborative software development.