ML Data Operations Lead

Apple • New York City, NY

74d

About The Position

We are looking for a talented individual to drive Data Operations supporting ML features, in close collaboration with our AI, Engineering, Product, and Legal partners, and to run the corresponding data projects end-to-end. We invite you to join us at this exciting time! Grow fast and positively impact multiple critical features on your first day at Apple! As an ML Data Ops Lead, you will focus on data acquisition, data synthesis/augmentation, data science, annotation, and data QA. This role is responsible for overseeing the end-to-end process for the machine learning data needs of AI/ML partners within Wallet, Payment, & Commerce (WPC). From conceptualization to completion, you will ensure that the data delivered to AI/ML models meets Apple's rigorous privacy and quality standards and meets regulatory/governance requirements.

Requirements

• Demonstrated ability to handle complex and large scale data ops projects (annotation, collection or QA).
• Expertise in identifying erroneous, fraudulent or low quality data.
• Familiarity with pioneering ML techniques, including generative technologies (transformer architecture, computer vision, diffusion models, and multi-modal architectures).
• Experience in understanding and managing Engineering tools & infrastructure and influencing cross-team roadmaps to align with team/project needs.
• Demonstrated talent for effecting change and driving results through influence, and an ability to navigate complex organizational structures to foster collaboration across functions.

Responsibilities

• Own project planning and coordination for large Data Engineering initiatives, including requirements gathering, scoping effort, prioritizing, resource allocation, and scheduling of deliverables.
• Design and implement ML Data Ops strategies optimized for each feature (collection and annotation), including the identification and sourcing or creation of necessary tooling or infrastructure.
• Drive data governance and other regulatory/privacy initiatives and make sure that processes are well documented and maintained to the standards of Apple.
• Collaborate with vendors to ensure tasks are calibrated appropriately; track and report on quantity and quality metrics.
• In collaboration with our Engineering Program Manager, establish robust processes to facilitate the expression of needs, as well as the efficient planning, tracking and reporting of data programs.
• Drive or promote enhancements of data operations across features supported (increase diversity & quality, reduce cost & lead time), through innovative workflows that combine human and machine computation (using new capabilities of ML & foundation models).
• Partner with our Engineering Managers to help execute on the long term engineering initiatives by building a roadmap that balances short term requests and long term initiatives.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees