Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to develop a culture where everyone belongs and is inspired to do their best work.\\nHere on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.\\nApple's Retail Decision Automation team is looking for an outstanding and experienced Program Manager of AI Data Operations who is passionate about delivering production-grade machine learning and analytics solutions. You'll partner across technical and program teams to manage an organization of data domain experts. Our work in decision automation powers a broad portfolio of Retail initiatives, all with the common goal of enriching and reimagining our customer experience.
You will lead an organization of internal domain experts, building scalable annotation programs that balance accuracy and speed while maintaining quality standards. You will partner closely with Engineering, Data Science, and Programs to translate evolving system requirements into robust audit pipelines, tooling strategies, and measurable performance lift.
MS in Computer Science, Statistics, Applied Math or a related field\n8+ years of people management of data scientists, statisticians, or other analysis-related teams.\n10-12 Years in AI data operations or ML program leadership.\nDemonstrated experience leading large-scale annotation or data operations teams.\nSkilled at attracting new talent, as well as developing talent within the team and planning for succession.\nBuilds a culture where values guide decisions, people are put first, and innovation drives quality results.\nCommunicates with humility and curiosity, creating an environment where people feel safe to share feedback openly.\nStrong understanding of ML lifecycle, model evaluation metrics, and feedback loops.\nProven track record building scalable quality systems in high-growth environments.\nAbility to influence cross-functional technical leaders and executives.\nDeep analytical mindset with comfort in ambiguity and rapid iteration environments.
Experience designing RLHF or structured human feedback programs.\nBackground in large language model evaluation and red-teaming.\nFamiliarity with synthetic data strategies.\nExposure to the software development lifecycle or internal tooling investments.\nPrior experience managing a data operations team.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: b20ec844512563dc6cb0887537c0a164
- Posted 30+ days ago
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