Job Details

Job Information

AIML - Machine Learning Manager, Evaluation
AWM-1020-AIML - Machine Learning Manager, Evaluation
11/12/2025
11/17/2025
Negotiable
Permanent

Other Information

www.apple.com
Cupertino, CA, 95015, USA
Cupertino
California
United States
95015

Job Description

No Video Available
 

Weekly Hours: 40

Role Number: 200630296-0836

Summary

As an Apple Machine Learning Evaluation Solutions Manager, you will lead the vision and strategy for assessing the intelligence behind Apple’s most transformative technologies. You’ll collaborate across world-class teams to design evaluation systems that measure not just accuracy, but impact—ensuring our ML models deliver magical, human experiences at scale. In this role, you’ll define benchmarks that set new industry standards, empower teams to build with confidence, and shape how billions of people interact with intelligence made by Apple.

Description

You will drive the creation of automated, scalable evaluation frameworks that seamlessly integrate with Apple’s existing ML infrastructure and tools. By architecting end-to-end systems that enable continuous testing, feedback, and performance analysis, you’ll empower teams to move faster and smarter. Your solutions will blend innovation with practicality—leveraging cutting-edge automation, data pipelines, and analytics to deliver reliable, timely insights that elevate the quality and trustworthiness of Apple’s machine learning experiences.

Minimum Qualifications

  • BS in computer science or STEM

  • 5+ years of experience

  • Prior work with ML tools and infrastructure

  • Prior work in ML quality/evaluation

Preferred Qualifications

  • MS in computer science or STEM

  • 10 years of experience

  • Management of the teams in ML or core system evaluation

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Other Details

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