About Apple
Apple · Cupertino
ML Data Program Manager
(w/m/d) · 14.1.2025
Description
Our MLO Data team focuses on data acquisition, data synthesis, data science, annotation, and data QA. Each year, we power dozens of features and work closely with ML teams across the Software Organization. Apple's commitment to deliver incredible experiences to a global and diverse set of users in full respect of their privacy leads our team to explore innovative ways of collecting and annotating data.
This role is responsible for overseeing the end-to-end process for our R&D partners machine learning data needs; from conceptualization to completion, and ensuring that the data delivered to R&D meets Apple's rigorous quality standards. This includes:
- 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
- Drive enhancements of data operations (increase scalability, diversity and quality, reduce cost and lead time), through innovative workflows that combine human and machine computation (leveraging capabilities of ML and foundation models)
- 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 programs across internal data functions (data engineering, 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
Qualifications
- Bachelors degree in computer science or related field; or equivalent practical experience.
Preferred Qualifications
- Exhibits excellent program/project management, communication, interpersonal, analytical, and organizational skills
- A talent for creating ML datasets focusing on end-to-end user experience by foreseeing issues, handling edge cases, and removing bias while ensuring inclusion and fairness
- Proficient in problem-solving and critical thinking, with a focus on innovation and continuous improvement
- Scripting skills (Python) to automate tasks, compute metrics and explore use of workflows combining ML and human inputs
- Self-starter, able to handle ambiguity, identify risks, troubleshoot, and find the right people and tools to get the job done
- Capacity to multitask and manage multiple projects in parallel while meeting deadlines, and maintaining clear and effective communication with stakeholders
Benefits
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