AI-Powered Location Tools Engineer (Sensing & Connectivity)

Apple; Cupertino (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Apple is seeking an AI Engineer Development Engineer in Test to validate and advance the next generation of location algorithms powering Maps and other location features. You will build AI-native tooling, data pipelines, and benchmarks to measure model quality, reliability, and real-world positioning behavior.

You will collaborate with hardware, software, and platform teams to ship AI-driven experiences and raise the quality bar for location features across the stack.

Qualifications

• Minimum Qualifications include: Bachelor's degree in CS, EE, Applied Math, or equivalent experience.
• Experience building and shipping ML/AI systems, in production or via significant project work.
• Hands-on experience with LLMs, prompt engineering, and agentic frameworks.
• Experience designing evaluation frameworks, quality metrics, and test infrastructure.
• Strong software engineering fundamentals, Python proficiency, and ability to deliver end-to-end features.

Responsibilities

• Design and deploy AI-native tooling and agentic workflows to accelerate validation of location algorithms.
• Build agentic data pipelines to ingest, curate, and quality-check location datasets.
• Develop an end-to-end replay system to measure quality, reliability, and real-world behavior.
• Partner with hardware, apps, and platform teams to ship AI-driven experiences from the ground up.
• Own the quality bar for location features and drive impact for users.

Skills

ML/AI systems

LLMs

Prompt engineering

Agentic frameworks

Evaluation frameworks

Test infrastructure

Python

End-to-end features

Software fundamentals

Education

Bachelor's degree or equivalent

Job description

Apple is seeking an AI Engineer Development Engineer in Test to validate and advance the next generation of location algorithms powering Maps and other location features. You will build AI-native tooling, data pipelines, and benchmarks to measure model quality, reliability, and real-world positioning behavior.

You will collaborate with hardware, software, and platform teams to ship AI-driven experiences and raise the quality bar for location features across the stack.