Machine Learning Software Engineer

Apple is seeking a Machine Learning Software Engineer to join their innovative team working on next-generation sensing technologies for devices like iPhone, Apple Watch, and iPad. This role combines advanced algorithm development with practical implementation, focusing on embedded systems and on-device machine learning. You'll be part of a team that transforms novel ML ideas into phenomenal products and customer experiences.

The position requires expertise in embedded programming, edge computing, and algorithm implementation for processing image and time-series data from various sensors. You'll work cross-functionally with ML scientists, sensor architects, and software engineers to create cutting-edge features for Apple's existing and future devices.

Key aspects of the role include implementing signal and ML algorithms on-device, designing user studies, and collaborating with hardware and software teams. The ideal candidate should have strong programming skills in Python and experience with systems programming languages like Swift or C++. A background in deep learning, classical ML, and signal processing is highly valued.

This is an excellent opportunity for someone passionate about combining theoretical ML knowledge with practical implementation in consumer products. The role offers competitive compensation ($143,100-$264,200), comprehensive benefits, and the chance to work on products used by millions worldwide. Apple's collaborative environment and focus on innovation make this an ideal position for those looking to make a significant impact in consumer technology.

The position is based in Cupertino, offering the chance to work at Apple's headquarters with some of the industry's best minds. Benefits include stock options, medical coverage, education reimbursement, and more, making this an attractive opportunity for career growth in ML engineering.