AIML - Sr Engineering Program Manager, Foundation Models
Apple
AIML - Sr Engineering Program Manager, Foundation Models
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. Are you passionate about overseeing evaluating ML models and validating AI applications? We are looking for an engineering program manager to lead the development of the next phase of our ML international locales expansion. 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.
Locations
- Cambridge, Massachusetts, United States 02139
- Cupertino, California, United States 95014
- New York City, New York, United States 10022
- 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
- evaluating ML modelsintermediate
- validating AI applicationsintermediate
- overseeing ML modelsintermediate
- conceptualizing technically complex platform projectsintermediate
- delivering technically complex platform projectsintermediate
- understanding mechanics of developing ML systemsintermediate
- scaling ML systemsintermediate
- shipping ML systems to billions of usersintermediate
- managing projectsintermediate
- coordinating projects with vendorsintermediate
- coordinating projects with annotation platform teamsintermediate
- coordinating projects with legalintermediate
- coordinating projects with financeintermediate
- coordinating projects with partner data scientistsintermediate
- coordinating projects with partner engineersintermediate
- creating data assetsintermediate
- evaluating machine learned experiencesintermediate
Required Qualifications
- 5+ years of experience in program management, particularly in the data acquisition of ML technologies (experience, 5 years)
- Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems. (experience)
- Excellent 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 Master's degree. EE/CS/CE or equivalent. (degree in master)
Preferred Qualifications
- Prior PM or engineering experience in search, speech recognition, natural language understanding, data pipelines is a plus (experience)
- Experience with international locales experience (experience)
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
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AIML - Sr Engineering Program Manager, Foundation Models
Apple
AIML - Sr Engineering Program Manager, Foundation Models
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. Are you passionate about overseeing evaluating ML models and validating AI applications? We are looking for an engineering program manager to lead the development of the next phase of our ML international locales expansion. 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.
Locations
- Cambridge, Massachusetts, United States 02139
- Cupertino, California, United States 95014
- New York City, New York, United States 10022
- 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
- evaluating ML modelsintermediate
- validating AI applicationsintermediate
- overseeing ML modelsintermediate
- conceptualizing technically complex platform projectsintermediate
- delivering technically complex platform projectsintermediate
- understanding mechanics of developing ML systemsintermediate
- scaling ML systemsintermediate
- shipping ML systems to billions of usersintermediate
- managing projectsintermediate
- coordinating projects with vendorsintermediate
- coordinating projects with annotation platform teamsintermediate
- coordinating projects with legalintermediate
- coordinating projects with financeintermediate
- coordinating projects with partner data scientistsintermediate
- coordinating projects with partner engineersintermediate
- creating data assetsintermediate
- evaluating machine learned experiencesintermediate
Required Qualifications
- 5+ years of experience in program management, particularly in the data acquisition of ML technologies (experience, 5 years)
- Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems. (experience)
- Excellent 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 Master's degree. EE/CS/CE or equivalent. (degree in master)
Preferred Qualifications
- Prior PM or engineering experience in search, speech recognition, natural language understanding, data pipelines is a plus (experience)
- Experience with international locales experience (experience)
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
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Sr Engineering Program Manager, Foundation Models @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs