Transforming the World with Machine Learning and AI
We believe in the power of Machine Learning and AI to change the world. As part of Apple's Software Engineering organization, our System Intelligence and Machine Learning (SIML) group builds high-quality ML datasets at scale to train models powering AI features across Apple products, including iPhone, iPad, Mac, Apple Watch, and AirPods.
Our Work: Behind Essential Features
* CAMERA: enabling users to capture stunning photos and videos
About the Role
We are expanding our global presence outside of Silicon Valley and looking for a talented individual to drive Data Programs supporting ML models and features developed by R&D teams located in Europe. As our first Data Program Manager in Zurich, you will drive such Data Programs and run the corresponding data projects end-to-end (collection & annotation).
Key Qualifications
1. Focusing on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&D teams in Apple's Software organization
2. Overseeing the end-to-end process to support machine learning data needs of R&D partners located in Europe, from conceptualization to completion
Responsibilities
* Drive Data Ops plan in Europe to support client organizations, targeting excellence of data operations in a context of growing and evolving data needs
* Collaborate with R&D partners to understand and define their data requirements from inception to delivery
* Design and implement ML Data Ops strategies optimized for each feature (collection and annotation), including the identification and sourcing or creation of necessary tooling, equipment, or crowd
* Work closely with privacy, legal, procurement, and product security teams to identify and clear options considered for data operations
* Thoroughly scope projects, estimating timelines, cost, and identifying potential challenges in advance
* Coordinate data program across internal data functions (data engineering, data science, QA) and other partners
* Establish clear guidelines and training material
* Collaborate with vendors to ensure tasks are calibrated appropriately; track and report on quantity and quality metrics
As R&D presence in Europe grows, the position could evolve into a leadership or management role in the future.