Senior ML Software Engineer - Apple Watch
About The Position
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. In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide.
Requirements
- M.S. or Ph.D. in Machine Learning, Computer Science, or a related field
- Solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data
- Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow
- Experience with Swift or Objective-C and developing on Apple platforms
- Experience architecting large scale systems
Nice To Haves
- Collaborate effectively with cross-functional partners
- Deep commitment to product quality and interest in building consumer applications
- Excellent communication and collaboration skills, with ability to work independently or in small teams
Responsibilities
- Training advanced models
- Rapid on-device prototyping
- Full-scale productization
- Collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
