Job description

The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features. We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines — from training advanced models to rapid on-device prototyping and full-scale productization. M.S. or Ph.D. in Computer Science, Machine Learning, or a related field. Proficiency with Swift or Objective-C and developing on Apple platforms. Experience using Python and deep learning frameworks such as PyTorch or TensorFlow for predictive modeling. Excellent communication and collaboration skills, with ability to work independently or in small teams. Experience optimizing and profiling applications for performance and power consumption. Ability to work within the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource constrained devices

Requirements

Must-haves

M.S. or Ph.D. in Computer Science, Machine Learning, or a related field.
Proficiency with Swift or Objective-C and developing on Apple platforms.
Experience using Python and deep learning frameworks such as PyTorch or TensorFlow for predictive modeling.
Excellent communication and collaboration skills, with ability to work independently or in small teams.
Experience optimizing and profiling applications for performance and power consumption.
Ability to work within the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource constrained devices

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlswiftpython

Platform: apple
Effort: medium