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Home›Jobs›Apple›AIML - Machine Learning Manager, Evaluation
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

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Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

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Apple

AIML - Machine Learning Manager, Evaluation

Apple • Cupertino, California, United States

Posted 1 month ago🏛️ On-SiteLeadMachine learning engineer📍 Cupertino
Apply Now →

Skills & Technologies

Machine learningData pipelinesAnalyticsAutomation

Job Description

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

Responsibilities

Automate evaluation workflows by integrating with existing ML infrastructure, data pipelines, and experimentation platforms to enable continuous, hands-free assessment. Collaborate with cross-functional teams—including research, engineering, and product—to define success metrics and ensure evaluation frameworks align with user experience goals. Develop and maintain robust analytics and reporting tools that provide actionable insights and drive data-informed improvements across ML models. Champion best practices in ML evaluation and reproducibility, fostering a culture of rigorous testing, transparency, and innovation across Apple’s AI ecosystem.

Eeo Content

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.

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