AI Test Engineer, Sensing & Connectivity

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.

DESCRIPTION

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

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

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