Wireless Stability Automation Engineer (ML Focus)

Wireless Stability Automation Engineer (ML Focus)

San Diego, California, United States

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.

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 workflows, tools/framework development
• Excellent analytical, problem-solving, and debugging skills
• Ability to work collaboratively in a team environment
• Bachelor's or Master's degree in Electronics & Communication Engineering, Computer Science, or equivalent

Preferred Qualifications

• Understanding of hardware product lifecycle/testing is a plus
• Experience applying analytics and statistical methods to transform data into useful insights and actionable results
• Familiarity with database management and SQL queries is advantageous
• Strong understanding of software testing principles and methodologies
• Analytical, methodical, and creative problem solver committed to quality
• Exceptional communication skills for effective cross-functional collaboration

Note: The salary range for this role is $139,500 to $258,100, depending on skills, qualifications, experience, and location. Apple offers comprehensive benefits, stock programs, and educational reimbursement. This role may be eligible for bonuses, commissions, and relocation assistance. Benefits are subject to eligibility requirements and plan terms.

Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity for all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant.