Machine Learning Research Engineer, Fitness Intelligence – Watch Software
Generate a McCoy IQ challenge in 30 seconds.
See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
Key details
Why this role is notable
Apple is building a unified, model-driven intelligence layer for fitness that runs across Watch and iPhone, signaling that its health features are shifting from hand-coded rules toward language-model-style capabilities shipped on-device.
Job Description
magine what you could do here at Apple. Innovation runs through everything we do, from amazing technology to industry-leading environmental efforts, and the diversity of people and ideas makes it possible. Join Apple, and help us leave the world better than we found it.
The Apple Watch Software team is looking for an exceptional machine learning engineer to help ship the intelligence behind Apple’s fitness experiences. You’ll take promising model capabilities from first prototype all the way to features on Apple Watch and iPhone. That means building the datasets, evaluations, prompts and model adaptations that get a capability to shipping quality, and writing the production client code that delivers it to users. You’ll work closely with the other fitness teams to bring unified intelligence capabilities to features across the platform, and you’ll help set the technical direction for a new and fast-moving domain. This role requires a passion for iteration, a high bar for quality, and a drive to see ideas all the way into shipping software. We value communication skills, integrity and creativity, and aspire to build diverse, balanced and dynamic teams.

