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; 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.

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About the role

Apple is seeking an AI Test Engineer in the CoreMotion team to design and deploy AI-native tooling for motion sensing and connectivity. You should think in AI, fluent with modern LLMs, agentic systems, and building at scale. You will bring AI-first approaches to problems where signals are physical and the scale is hundreds of millions of devices. This is an on-site role based in San Diego, California, United States.

Responsibilities

Qualifications: Minimum:

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; 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.
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 f

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Key requirements

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; 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.

Jobs at Apple

83 active roles from this employer in the JobMatcher catalog.

All company jobs

About the role

Apple is seeking an AI Test Engineer in the CoreMotion team to design and deploy AI-native tooling for motion sensing and connectivity. You should think in AI, fluent with modern LLMs, agentic systems, and building at scale. You will bring AI-first approaches to problems where signals are physical and the scale is hundreds of millions of devices. This is an on-site role based in San Diego, California, United States.

Responsibilities

Qualifications: Minimum:

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; 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.
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 f

Track similar jobs

Get email alerts when new roles like this are posted.

Based on: AI Test Engineer

See how this role matches your resume

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Create account Sign in

More in United States

QA Engineering AI / ML Remote Europe Remote-first

Jobs at Apple

83 active roles from this employer in the JobMatcher catalog.

All company jobs

More in United States

QA Engineering AI / ML Remote Europe Remote-first

Jobs at Apple

83 active roles from this employer in the JobMatcher catalog.

All company jobs

More in United States

QA Engineering AI / ML Remote Europe Remote-first

AI Test Engineer

AI Test Engineer

Key requirements

Jobs at Apple

About the role

Responsibilities

Jobs like this

Key requirements

Jobs at Apple

About the role

Responsibilities

Jobs like this

Jobs at Apple

Jobs like this

Jobs at Apple

Jobs like this