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 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.

Minimum Qualifications

Outstanding technical judgment and collaboration skills and experience shipping large-scale differentially private production systems.
Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead.
Strong collaboration, communication, interpersonal, and organizational skills.
Ability to solve complex problems independently.
Experience with differential privacy or private federated learning.
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 learn and research new technologies and use-cases rapidly, assess privacy exposures, and suggest mitigations.

Description

We are seeking an experienced engineer and technical lead to build privacy-preserving technologies for measurement and machine learning. IN THIS ROLE YOU WILL: Lead multi-functional and cross-org teams deploying innovative privacy-preserving technologies 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 consistent track record of technical leadership and practical experience deploying privacy-preserving systems. Strong interpersonal skills and the ability to influence and build consensus and work across multiple teams and organizations on a regular basis.

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 $207,800 and $378,700, 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.

AIML-Sr. Machine Learning Engineer

Measurement

Apple

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Preferred Qualifications

Description

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