AIML - Sr Engineering Program Manager, Foundation Models
Apple
•
Cupertino, CA
0
0
0
0
Not Applicable
Posted March 13, 2026
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- Lead high profile Foundation Model programs, 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 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
- 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 alignments across all stakeholder 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
Commitments
Apple accepts applications to this posting on an ongoing basis.
Not Met Priorities
What still needs stronger evidence
Requirements
- 5+ years of experience in program management, 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.
- 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
Preferred Skills
- Prior PM or engineering experience in search, image recognition and understanding, data pipelines is a plus
- Experience with international locales experience
Education
- (Not required) – Bachelor's or Master's degree.
- (Not required) – EE/CS/CE or equivalent.
Summary
Are you passionate about overseeing evaluating ML models and validating AI applications? The successful candidate will have a proven track record of conceptualizing and delivering technically complex platform projects. They will have a solid understanding of the mechanics of developing ML systems and what it takes to scale and ship them to billions of users worldwide. They will be managing and coordinating projects with vendors, annotation platform teams, legal, finance, and partner data scientists & engineers to create data assets which are used to power and evaluate ground breaking machine learned experiences.
Description
Are you passionate about overseeing evaluating ML models and validating AI applications? The successful candidate will have a proven track record of conceptualizing and delivering technically complex platform projects. They will have a solid understanding of the mechanics of developing ML systems and what it takes to scale and ship them to billions of users worldwide. They will be managing and coordinating projects with vendors, annotation platform teams, legal, finance, and partner data scientists & engineers to create data assets which are used to power and evaluate ground breaking machine learned experiences.
Responsibilities
Lead high profile Foundation Model programs, 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 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
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 alignments across all stakeholder 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
Minimum Qualifications
5+ years of experience in program management, 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.
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.
Preferred Qualifications
Prior PM or engineering experience in search, image recognition and understanding, data pipelines is a plus
Experience with international locales experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
Apple accepts applications to this posting on an ongoing basis.
Are you passionate about overseeing evaluating ML models and validating AI applications? The successful candidate will have a proven track record of conceptualizing and delivering technically complex platform projects. They will have a solid understanding of the mechanics of developing ML systems and what it takes to scale and ship them to billions of users worldwide. They will be managing and coordinating projects with vendors, annotation platform teams, legal, finance, and partner data scientists & engineers to create data assets which are used to power and evaluate ground breaking machine learned experiences.
Description
Are you passionate about overseeing evaluating ML models and validating AI applications? The successful candidate will have a proven track record of conceptualizing and delivering technically complex platform projects. They will have a solid understanding of the mechanics of developing ML systems and what it takes to scale and ship them to billions of users worldwide. They will be managing and coordinating projects with vendors, annotation platform teams, legal, finance, and partner data scientists & engineers to create data assets which are used to power and evaluate ground breaking machine learned experiences.
Responsibilities
Lead high profile Foundation Model programs, 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 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
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 alignments across all stakeholder 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
Minimum Qualifications
5+ years of experience in program management, 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.
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.
Preferred Qualifications
Prior PM or engineering experience in search, image recognition and understanding, data pipelines is a plus
Experience with international locales experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
Apple accepts applications to this posting on an ongoing basis.