AIML - Senior Machine Learning Manager, Privacy ML
Job Description
Summary
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.
Description
We 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.
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 performance issues.
- 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
Preferred 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 & Benefits
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