The On-Device Machine Learning team at Apple enables the Research to Production lifecycle of innovative machine learning models that power magical user experiences on Apple’s hardware and software platforms.
Apple is the best place to do on-device machine learning, and this team sits at the heart of that subject area, collaborating with research, SW engineering, HW engineering, and products. Apple's On device Machine Learning Infrastructure and Quality team is seeking a highly motivated and detail oriented software engineer to drive innovations in quality for on device intelligence.
The successful candidate will be passionate about delivering the best possible experience for our users and is continuously looking for new ways to measure and improve the quality of our software stack and infrastructure. Additionally, having the ability to switch between designing creative product usage scenarios and immersive analysis of detailed feature design will be a critical skill to possess.
Software pay context
Based on 7,244 disclosed Software salaries on RoleSuite, the role pays a median of $156K/year, with most offers between $123K and $196K (10th–90th percentile: $101K–$233K).
This posting lists $120K–$210K, in line with the $156K market median.
See the full Software salary breakdown →