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Apple AIML - Sr Engineering Program Manager Machine Learning FM United Kingdom, England, Cambridge 648048532
21.04.2025
Specific Responsibilities Include:- Lead high profile Foundation Model programs, responsible for roadmapping, establishing goals with DRIs and reporting statuses to executives regularly and succinctly- Create and manage project schedules 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- 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
- - 5+ years of experience in program management, particularly in the data acquisition of ML technologies, international locales experience is a plus.
- Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems.
- Excellent 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 Master's degree. EE/CS/CE or equivalent.
- Prior PM or engineering experience in search, speech recognition, natural language understanding, data pipelines is a plus
- Experience with international locales experience
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