Wireless Stability Automation Engineer (ML Focus)

Are you a fearless thinker? Do you love the challenge of advancing a widely accepted technology? In the Wireless Software group, you'll be responsible for bringing groundbreaking wireless connectivity to the world through Wi-Fi, Bluetooth, GPS, and more. You'll design, develop, and patent the next generation of our state-of-the art connectivity technologies. You'll collaborate across departments to help craft wireless solutions that elevate the customer experience with Apple products and services. Our goal is to ensure nothing stands in the way of our customers' connections with their devices. If you join us, you'll help build world-renowned wireless systems so seamless that they almost feel like magic. We are looking for a talented Automation engineer with a background in Machine Learning to join our dynamic team. You will join a diverse team responsible for qualifying the wireless features and software for the latest iPhones/iPads and Apple Watch product lines.

Description

In this role, you are responsible for designing and implementing automated testing solutions, developing machine learning data pipelines to analyze wireless product test data and provide actionable insights. You will collaborate closely with Software/Firmware/Platform development and other cross-functional teams to drive improvement proposals and optimizations based on the ML learnings.

Preferred Qualifications

Understanding of Hardware Product Lifecycle/Testing is a Plus.

Experience in applying analytics and statistical methods to transform data into useful insights and actionable results.

Familiarity with database management and SQL queries is an added advantage.

Strong understanding of software testing principles and methodologies.

An analytical, methodical, and creative problem solver committed to driving quality forward.

Exceptional communication skills for effective collaboration with cross-functional teams.

Minimum Qualifications

Proficiency in Python and familiarity with various machine learning tools and frameworks

Hands on experience in implementing end-to-end machine learning projects

Experience in scripting, automating test work flows, tools/framework development.

Excellent Analytical, Problem solving and debugging skills

Ability to work collaboratively in a team environment

Bachelor or Masters in Electronics & Communication engineering, Computer Science or equivalent

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .