Apple Inc.
AIML - Quality Engineering Manager, Data Operations
Apple Inc., Cupertino, California, United States, 95014
AIML - Quality Engineering Manager, Data Operations
Cupertino, California, United States | Machine Learning and AI Add to Favorites AIML - Quality Engineering Manager, Data Operations Description
Manage and support a team of Quality Engineers responsible for QA strategy, tooling, and implementation across annotation workflows. Define and refine scalable processes and metrics to assess the quality, consistency, and relevance of labeled data. Partner with Engineering teams to build automated validation logic for detecting inconsistencies and data anomalies. Collaborate with Data Scientists and ML Engineers to analyze how data quality impacts model behavior and identify opportunities for data improvement. Lead multi-functional alignment on annotation QA standards and ensure feedback loops between quality, guidelines, and tooling. Own and evolve golden set evaluations, consensus grading protocols, and annotator quality tracking mechanisms. Conduct root cause analyses on quality issues and drive corrective actions in collaboration with upstream teams. Stay ahead of QA and data quality best practices, and drive continuous improvement in tools and methodologies. Minimum Qualifications
7+ years of experience in data quality, quality engineering, or related fields, including 2+ years in management or leadership roles. Exceptional leadership, communication, and organizational skills. Meticulous with strong analytical and problem-solving skills. Knowledge of data quality concepts, challenges, and best practices. Proven track record of process improvements and managing cross-functional initiatives. Preferred Qualifications
Experience with AI/ML/LLM, understanding ML model development cycles and the importance of human-labeled data. Experience with large-scale data operations or data-centric ML infrastructure. Knowledge of data quality standards, frameworks, and governance. Experience designing automated QA checks and quality monitoring systems. Strong data analysis skills; proficiency with scripting languages (e.g., Python) and data tools (e.g., SQL). At Apple, base pay is part of our total compensation and depends on skills, qualifications, experience, and location. The range for this role is $173,100 to $260,400. Employees may participate in stock programs, receive benefits like medical coverage, retirement plans, discounts, educational reimbursements, bonuses, and relocation assistance. Learn more about Apple Benefits. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity 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.
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Cupertino, California, United States | Machine Learning and AI Add to Favorites AIML - Quality Engineering Manager, Data Operations Description
Manage and support a team of Quality Engineers responsible for QA strategy, tooling, and implementation across annotation workflows. Define and refine scalable processes and metrics to assess the quality, consistency, and relevance of labeled data. Partner with Engineering teams to build automated validation logic for detecting inconsistencies and data anomalies. Collaborate with Data Scientists and ML Engineers to analyze how data quality impacts model behavior and identify opportunities for data improvement. Lead multi-functional alignment on annotation QA standards and ensure feedback loops between quality, guidelines, and tooling. Own and evolve golden set evaluations, consensus grading protocols, and annotator quality tracking mechanisms. Conduct root cause analyses on quality issues and drive corrective actions in collaboration with upstream teams. Stay ahead of QA and data quality best practices, and drive continuous improvement in tools and methodologies. Minimum Qualifications
7+ years of experience in data quality, quality engineering, or related fields, including 2+ years in management or leadership roles. Exceptional leadership, communication, and organizational skills. Meticulous with strong analytical and problem-solving skills. Knowledge of data quality concepts, challenges, and best practices. Proven track record of process improvements and managing cross-functional initiatives. Preferred Qualifications
Experience with AI/ML/LLM, understanding ML model development cycles and the importance of human-labeled data. Experience with large-scale data operations or data-centric ML infrastructure. Knowledge of data quality standards, frameworks, and governance. Experience designing automated QA checks and quality monitoring systems. Strong data analysis skills; proficiency with scripting languages (e.g., Python) and data tools (e.g., SQL). At Apple, base pay is part of our total compensation and depends on skills, qualifications, experience, and location. The range for this role is $173,100 to $260,400. Employees may participate in stock programs, receive benefits like medical coverage, retirement plans, discounts, educational reimbursements, bonuses, and relocation assistance. Learn more about Apple Benefits. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity 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.
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