Connecting Odds
Apple

AI Test Engineer, Sensing & Connectivity

Apple
San Diego, CAPosted about 1 month agoDiscoveredMatch locked
Design and UX

About the role

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 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 Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $122,700 and $214,300, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Not included in the source posting: about the role, qualifications, benefits.

Skills

artificial-intelligencemachine-learningllmpythonux

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.