Apple
AIML - Senior Machine Learning Manager, Privacy ML
Apple, Seattle, Washington, us, 98127
AIML - Senior Machine Learning Manager, Privacy ML
Seattle, Washington, United States
Machine Learning and AI
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state-of-the-art privacy-preserving measurement and machine learning. We are looking for an outstanding engineering manager to join the Privacy Preserving Machine Learning team.
DescriptionWe are seeking an experienced manager and technical lead to join our team in building privacy-preserving technologies for measurement and machine learning. In this role you will:
Manage and grow a team that designs, develops, and deploys state-of-the-art privacy-preserving technologies for measurement and machine learning that meet Apple’s industry-leading privacy bar.
Communicate system design tradeoffs, privacy risks, and potential mitigations to senior leadership to drive decisions.
Develop and grow a team of senior engineering staff and managers.
Guide the development of data collection systems that enable the training and evaluation of generative AI systems while preserving privacy.
Successful candidates will need to have a strong track record of technical leadership and extensive experience managing engineering teams, including managing and developing new managers. Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role. You will be working across multiple teams and organizations on a regular basis, so strong interpersonal and time management skills are necessary.
Minimum Qualifications
Experience managing managers and managing through organizational change and growth.
Experience leading strategic technical projects with multiple stakeholders and directing work of other engineers or as a technical lead.
Strong collaboration, communication, interpersonal, and organizational skills.
Ability to solve complex problems independently.
Key QualificationsPreferred Qualifications
Passion for customer privacy.
Experience with differential privacy or private federated learning.
Real-world experience implementing privacy/trust/security measures which have shipped in a consumer product and/or service.
Participation in public standards forums or academic publications in privacy and machine learning.
BS in Computer Science, EE or equivalent experience.
Pay & BenefitsAt 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 $239,700 and $360,200, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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Seattle, Washington, United States
Machine Learning and AI
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state-of-the-art privacy-preserving measurement and machine learning. We are looking for an outstanding engineering manager to join the Privacy Preserving Machine Learning team.
DescriptionWe are seeking an experienced manager and technical lead to join our team in building privacy-preserving technologies for measurement and machine learning. In this role you will:
Manage and grow a team that designs, develops, and deploys state-of-the-art privacy-preserving technologies for measurement and machine learning that meet Apple’s industry-leading privacy bar.
Communicate system design tradeoffs, privacy risks, and potential mitigations to senior leadership to drive decisions.
Develop and grow a team of senior engineering staff and managers.
Guide the development of data collection systems that enable the training and evaluation of generative AI systems while preserving privacy.
Successful candidates will need to have a strong track record of technical leadership and extensive experience managing engineering teams, including managing and developing new managers. Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role. You will be working across multiple teams and organizations on a regular basis, so strong interpersonal and time management skills are necessary.
Minimum Qualifications
Experience managing managers and managing through organizational change and growth.
Experience leading strategic technical projects with multiple stakeholders and directing work of other engineers or as a technical lead.
Strong collaboration, communication, interpersonal, and organizational skills.
Ability to solve complex problems independently.
Key QualificationsPreferred Qualifications
Passion for customer privacy.
Experience with differential privacy or private federated learning.
Real-world experience implementing privacy/trust/security measures which have shipped in a consumer product and/or service.
Participation in public standards forums or academic publications in privacy and machine learning.
BS in Computer Science, EE or equivalent experience.
Pay & BenefitsAt 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 $239,700 and $360,200, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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