Job Description

The CoreMotion team builds the sensing and intelligence layer that powers motion-driven experiences across Apple products, from device attitude and heading to fitness tracking and gesture recognition. We're looking for someone who thinks natively in AI: fluent with modern LLMs, agentic systems, and building at scale. You'll bring AI-first approaches to hard problems in a domain where the signals are physical and the scale is hundreds of millions of devices. As a member of our dynamic group, you will have the rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.

Design and deploy AI-native tooling and agentic workflows to accelerate algorithm development and validation across motion sensing domains
Scale algorithm validation to millions of sensor sessions using AI-orchestrated replay, with automated dataset selection, evaluation scheduling, and regression detection
Build agentic data pipelines to ingest, curate, and quality-check motion datasets, and use LLMs to generate synthetic sensor data and accelerate ground-truth annotation
Define benchmarks that measure model quality, reliability, and real-world behavior
Apply modern ML techniques, including foundation models and multimodal approaches, to motion sensing, sensor fusion, and activity recognition
Partner with hardware, apps, and platform teams to ship AI-driven experiences from the ground up
Own the quality bar for motion features and turn the latest AI capabilities into real impact for users

Preferred Qualifications

Experience with sensor data, motion algorithms, or embedded ML systems
Familiarity with distributed compute platforms and large-scale data infrastructure
Background in algorithm validation, simulation, or synthetic data generation

Minimum Qualifications

B.S. in Computer Science or relevant field
Experience building and shipping ML or AI systems, in production or through significant project work
Hands-on experience with LLMs, prompt engineering, and agentic frameworks
Strong software engineering fundamentals, with proficiency in Python and comfort across the stack
Experience designing evaluation frameworks, quality metrics, and test infrastructure
Demonstrated ability to work cross-functionally and deliver end-to-end features against release schedules