AIML - EPM Manager, Foundation Model Data
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Do you have a keen interest in managing a team that is leading the data efforts for Apple AI data strategy? We are seeking a dynamic Program Manager with a strong background in spearheading complex platform initiatives. Ideal candidates will possess an in-depth knowledge of ML system development and the scalability required to deploy these systems to a global audience of billions. This role involves orchestrating projects across various teams, including vendors, annotation platforms, legal, finance, as well as data scientists and engineers, to develop data assets that enhance and evaluate innovative machine learning experiences.
We are seeking an experienced EPM Manager to lead a foundation modeling data team. The selected individual will lead a skilled team in gathering essential data to fuel Apple's foundation models, thereby advancing Apple Intelligence capabilities.
Description
Specific Responsibilities Include:
- Build a world class team responsible for executing data collection and policy for Apples AI system.
- Lead high profile Foundation Model data team, responsible for roadmapping, establishing goals with DRIs and reporting statuses to executives regularly and succinctly
- Drive consensus across multiple groups with varying opinions & needs. Influence entire teams around a common purpose and drive conference on the plan of execution
- Create and manage project timeline with clear dependencies, critical path and systematic methodology to communicate status
- Proactively identify and manage risks, close gaps with the ability to switch gears on projects in an agile manner
- Keep teams on critical path with efforts to minimize distractions
- Provide clear, timely and objective communication, including regular program status updates and one-off reviews as needed to executive team
- Keep an eye on any potential gaps across dependency teams and proactively promote regular communications on common source of truth
- Proactive and regular insurance of alignment across all partner teams when new factors arise
- Plan yearly and quarterly budgets for data acquisition
- Maintain awareness of the Privacy and Legal aspects of data management and regional regulations, ensuring the team is meeting company-wide requirements
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Preferred Qualifications
Experience with Data and Machine Learning products is a plus
Prior PM or engineering experience in search, speech recognition, natural language understanding, data pipelines is a plus
Master's Degree or equivalent experience
Minimum Qualifications
10+ years of experience in program management managerial experience, particularly in the data acquisition of ML technologies
Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems.
Strong communication and presentation skills, with the ability to convey complex technical information to diverse audiences.
Demonstrated skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long term platform roadmap
Experience leading cross functional security and privacy initiatives and collaborating with Legal, Privacy Engineering, Security and other teams across the organization to ensure compliance with privacy policies and security mandates
Excellent project management skills including project structuring and managing multiple work streams interdependently
Demonstrated ability to work collaboratively across the organization
Ability to independently draft and present deliverables, recommendations and communication strategies
Bachelor's or equivalent experience in EE/CS/CE.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
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Financial and Retirement
Professional Development
Diversity and Inclusion
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