Machine Learning Data Manager

6 days ago


Cupertino, California, United States Apple Full time
About the Role

We are seeking a seasoned and technical Program Manager to join our AIML Data Operations team at Apple. As a key member of our team, you will be responsible for coordinating cross-functional efforts, planning resources, tracking budgets, and leading all aspects of high-level timelines for our annotations projects.

Key Responsibilities
  • Coordinate with teams across Apple's ecosystem to deliver high-quality annotated data that meets their needs.
  • Plan and manage resources, track budgets, and lead project timelines to ensure efficient and timely delivery.
  • Act as the primary point of contact for collaborators, providing regular updates on project status, risks, and issues.
  • Develop and maintain high-level project timelines, ensuring all landmarks and deadlines are met.
  • Prepare budget forecasts and reports to ensure efficient resource allocation.
  • Identify opportunities for process improvements and implement best practices.
Requirements
  • 8+ years of experience in Program Management in a technical and highly cross-functional domain.
  • Experience in leading a portfolio of initiatives, ensuring prioritization balances short-term and long-term goals.
  • Superb interpersonal skills, both written and verbal.
  • Excellent in partnership and relationship building.
  • Follows through on commitments, exhibiting a high degree of personal ownership and accountability.
  • Strategic problem solver, continually looking for ways to increase efficiency and decrease confusion for customers and operations teams.
  • Self-directed and proactive, thriving in an ambiguous and fast-paced environment.
Preferred Qualifications
  • Experience working with annotated data and ML researchers.
About Apple

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.



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