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Apple

engineering opportunity

Senior machine learning platform engineer, Evaluation & Privacy

Collaborate with engineers and scientists to integrate machine learning investigations into a privacy-preserving platform. Design and operate scalable distributed systems that turn these investigations into production capabilities for billions of devices.

Cupertino, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Apple?

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. Join us and help build amazing products while our commitment to

privacy.

DESCRIPTION

In this role you will work with engineers and scientists across many Apple

products to bring their machine learning investigations onto our platform for

privacy-preserving machine learning. You will partner with them to understand

the goals of each feature and the data required to improve the experience, then

design the systems that turn those investigations into production capabilities.

The results of this work will be better features deployed to billions of

devices, all while protecting the privacy of every person using them.

MINIMUM QUALIFICATIONS

2+ years of industry experience with a Bachelor's degree or equivalent

experience in Computer Science or a related technical field. Proficiency in one

or more programming languages such as Python and Swift. Experience building

software that runs in the background or on a schedule on largely autonomous

systems like iPhone — not as a self-contained app. Experience designing and

operating distributed systems at scale. Strong problem-solving skills,

creativity in finding effective solutions, and the ability to collaborate with

teams across the company.

PREFERRED QUALIFICATIONS

Passion for customer privacy. Experience with privacy-enhancing technologies

such as differential privacy, secure multi-party computation, private federated

learning, or PII redaction frameworks. Experience training, evaluating, and

deploying machine learning models to production. 5+ years of industry

experience. Master's degree or PhD or equivalent experience in Computer Science,

Software Engineering, or a related technical field.

Which skills does this role require?

PythonSwiftDistributed SystemsPrivacy-Preserving Machine LearningPrivate Federated LearningSoftware DesignModel DeploymentProblem SolvingPrivacy Preserving Machine LearningiPhoneProduction DeploymentEvaluation

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Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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