Apple · 10 hours ago
Senior Manager of Meta Evaluation & Quality Assurance
Apple Services Engineering (ASE) powers many AI and LLM features across App Store, Music, Video and more. As these systems increasingly rely on human-in-the-loop evaluation systems, the quality of our decisions is constrained by the quality of our evaluation systems.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Lead, mentor, and develop a multidisciplinary team of Data Scientists and Machine Learning Engineers, fostering a culture of rigorous scientific inquiry, technical excellence, and accountability
Define and drive the strategic roadmap for Meta Evaluation methodology and standards across Apple Services
Oversee the development of ML-based quality validation systems. You will guide ML Engineers in building models that utilize human-in-the-loop workflows to audit evaluators, identifying anomalies, disagreement, and ambiguity in evaluation data
Establish data quality validation standards and define the statistical processes for measuring confidence, calibration, and inter-rater reliability
Partner with Model Engineering and Data Science teams to validate new AI Judges (autograders) and Agents pre-production, ensuring they meet prescribed performance standards before deployment
Collaborate with Operations teams to build active learning loops where human experts adjudicate discrepancies flagged by your validation models, creating a continuous cycle of system improvement
Monitor the health of the evaluation ecosystem, identifying risks such as evaluator drift, bias, or silent agent failures, and reporting decision-readiness signals to leadership
Stay current with industry best practices in evaluation science, active learning, and hybrid human-AI quality control, bringing innovative validation methods to Apple’s evaluation stack
This is a highly collaborative leadership position that requires working across Engineering, Quality, Training, and Production Ops. Most of all, you are able to manage and lead change effectively while maintaining Apple culture and standards. Interpersonal skills, strategic thinking, and technical product knowledge are essential for success in this role
Qualification
Required
8+ years of experience in Data Science, Machine Learning, or Evaluation Science, with 3+ years leading technical teams
Strong background in Meta Evaluation, AI/ML measurement, statistics, or quality assurance methodologies
Demonstrated success in designing Human-in-the-Loop (HITL) machine learning systems or active learning pipelines
Masters degree in Statistics, Data Science, Machine Learning or related field
Preferred
PhD in Statistics, Computer Science, Machine Learning, or related field
Deep understanding of evaluation pipelines, calibration techniques, and statistical process control
Experience building ML models specifically designed for quality estimation, anomaly detection, or disagreement modeling
Proficiency in Python or R for statistical analysis and reasoning about evaluation data
Experience defining governance gates or certification processes for AI systems
Proven ability to manage complex methodological and technical programs in dynamic, fast-paced environments
Exceptional communication, organizational, and analytical skill
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase