AIML - EPM Manager, Foundation Model Data
Apple
AIML - EPM Manager, Foundation Model Data
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. 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. 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
Locations
- Cupertino, California, United States 95014
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- managing a teamintermediate
- spearheading complex platform initiativesintermediate
- knowledge of ML system developmentintermediate
- scalability for global deploymentintermediate
- orchestrating projects across teamsintermediate
- developing data assetsintermediate
- leading a foundation modeling data teamintermediate
- executing data collectionintermediate
- establishing AI data policyintermediate
- roadmappingintermediate
- establishing goals with DRIsintermediate
- reporting statuses to executivesintermediate
- driving consensus across groupsintermediate
- influencing teamsintermediate
- driving conference on execution plansintermediate
- creating and managing project timelinesintermediate
- identifying and managing risksintermediate
- agile project managementintermediate
- minimizing distractionsintermediate
- providing clear communicationintermediate
- program status updatesintermediate
- proactively promoting communicationsintermediate
- ensuring alignment across teamsintermediate
- planning budgets for data acquisitionintermediate
- awareness of Privacy and Legal aspectsintermediate
- compliance with regional regulationsintermediate
Required Qualifications
- 10+ years of experience in program management managerial experience, particularly in the data acquisition of ML technologies (experience, 10 years)
- Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems. (experience)
- Strong communication and presentation skills, with the ability to convey complex technical information to diverse audiences. (experience)
- Demonstrated skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long term platform roadmap (experience)
- 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 (experience)
- Excellent project management skills including project structuring and managing multiple work streams interdependently (experience)
- Demonstrated ability to work collaboratively across the organization (experience)
- Ability to independently draft and present deliverables, recommendations and communication strategies (experience)
- Bachelor's or equivalent experience in EE/CS/CE. (experience)
Preferred Qualifications
- Experience with Data and Machine Learning products is a plus (experience)
- Prior PM or engineering experience in search, speech recognition, natural language understanding, data pipelines is a plus (experience)
- Master's Degree or equivalent experience (experience)
Responsibilities
- 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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Answer 10 quick questions to check your fit for AIML - EPM Manager, Foundation Model Data @ Apple.
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AIML - EPM Manager, Foundation Model Data
Apple
AIML - EPM Manager, Foundation Model Data
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. 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. 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
Locations
- Cupertino, California, United States 95014
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- managing a teamintermediate
- spearheading complex platform initiativesintermediate
- knowledge of ML system developmentintermediate
- scalability for global deploymentintermediate
- orchestrating projects across teamsintermediate
- developing data assetsintermediate
- leading a foundation modeling data teamintermediate
- executing data collectionintermediate
- establishing AI data policyintermediate
- roadmappingintermediate
- establishing goals with DRIsintermediate
- reporting statuses to executivesintermediate
- driving consensus across groupsintermediate
- influencing teamsintermediate
- driving conference on execution plansintermediate
- creating and managing project timelinesintermediate
- identifying and managing risksintermediate
- agile project managementintermediate
- minimizing distractionsintermediate
- providing clear communicationintermediate
- program status updatesintermediate
- proactively promoting communicationsintermediate
- ensuring alignment across teamsintermediate
- planning budgets for data acquisitionintermediate
- awareness of Privacy and Legal aspectsintermediate
- compliance with regional regulationsintermediate
Required Qualifications
- 10+ years of experience in program management managerial experience, particularly in the data acquisition of ML technologies (experience, 10 years)
- Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems. (experience)
- Strong communication and presentation skills, with the ability to convey complex technical information to diverse audiences. (experience)
- Demonstrated skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long term platform roadmap (experience)
- 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 (experience)
- Excellent project management skills including project structuring and managing multiple work streams interdependently (experience)
- Demonstrated ability to work collaboratively across the organization (experience)
- Ability to independently draft and present deliverables, recommendations and communication strategies (experience)
- Bachelor's or equivalent experience in EE/CS/CE. (experience)
Preferred Qualifications
- Experience with Data and Machine Learning products is a plus (experience)
- Prior PM or engineering experience in search, speech recognition, natural language understanding, data pipelines is a plus (experience)
- Master's Degree or equivalent experience (experience)
Responsibilities
- 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
Tags & Categories
Answer 10 quick questions to check your fit for AIML - EPM Manager, Foundation Model Data @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs