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 candidate to become a member of the Privacy Preserving Machine Learning team.

DESCRIPTION

We are seeking an experienced engineer and technical lead to join our team building privacy- preserving technologies for measurement and machine learning. IN THIS ROLE YOU WILL:

• Lead cross-functional and cross-org teams deploying state of the art privacy-preserving technologies including differential privacy for measurement and machine learning.
• Design, develop and deploy end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar.
• Communicate system design tradeoffs, privacy risks and potential mitigations to senior leadership to drive decisions.
• Guide the development of data collection systems that enable training and evaluation of generative AI systems while preserving privacy.

Successful candidates will need to have a strong track record of technical leadership and practical experience deploying privacy-preserving and differentially private systems. 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

• Outstanding technical judgment and collaboration skills and experience shipping large- scale differentially private production systems.
• 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 learn and research new technologies and use-cases rapidly, assess privacy exposures, and suggest mitigations
• BS in Computer Science, EE or equivalent experience

PREFERRED QUALIFICATIONS

• 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 strongly preferred.
• Passion for customer privacy
• Ability to analyze systems’ architectures for privacy impact
• Ability to solve complex problems independently

• Lead cross-functional and cross-org teams deploying state of the art privacy-preserving technologies including differential privacy for measurement and machine learning.
• Design, develop and deploy end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar.
• Communicate system design tradeoffs, privacy risks and potential mitigations to senior leadership to drive decisions.
• Guide the development of data collection systems that enable training and evaluation of generative AI systems while preserving privacy