Hybrid Machine Learning Software Engineer role based in Cupertino, California or Seattle, Washington, with a hybrid work arrangement. You will develop on-device sensing features for Apple Watch, such as DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. You will collaborate with cross-functional partners across Apple to explore novel experiences, prototype ideas, train models, and ship features for Apple Watch, home products, and other hardware. In this role, you will work with designers, ML engineers, and software experts to translate ambitious concepts into on-device sensing experiences reaching millions of Apple Watch users worldwide. Responsibilities include building scalable ML solutions, training models on time-series data, and delivering production-quality code using Python with PyTorch or TensorFlow, along with Swift or Objective-C on Apple platforms. Experience architecting large-scale systems is required. Preferred qualifications include strong collaboration, a commitment to product quality, and excellent communication skills, with the ability to work independently or in small teams.

Hybrid Machine Learning Software Engineer role based in Cupertino, California or Seattle, Washington, with a hybrid work arrangement. You will develop on-device sensing features for Apple Watch, such as DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. You will collaborate with cross-functional partners across Apple to explore novel experiences, prototype ideas, train models, and ship features for Apple Watch, home products, and other hardware. In this role, you will work with designers, ML engineers, and software experts to translate ambitious concepts into on-device sensing experiences reaching millions of Apple Watch users worldwide. Responsibilities include building scalable ML solutions, training models on time-series data, and delivering production-quality code using Python with PyTorch or TensorFlow, along with Swift or Objective-C on Apple platforms. Experience architecting large-scale systems is required. Preferred qualifications include strong collaboration, a commitment to product quality, and excellent communication skills, with the ability to work independently or in small teams.