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, and are looking for an outstanding candidate to help us scale across

Apple products.

DESCRIPTION

We are seeking an experienced platform learning engineer and to join our team

building privacy-preserving technologies for measurement and machine learning.

Successful candidates will need to have a strong technical background and

interest or experience with backend development and deploying data-intensive

systems. Strong interpersonal skills and the ability to influence and build

consensus are crucial to success in this role. You will be working across a

range of technologies, so adaptability to new problems and systems is a core

skill.

MINIMUM QUALIFICATIONS

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

experience in Computer Science or a related technical field. Experience

architecting, deploying, and scaling data intensive systems. Strong hands-on

experience in SW development, with proficiency in one or more programming

languages such as Python, Swift, and C++. Experience building systems to

orchestrate, automate, and harden data processing pipelines. 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 differential privacy, secure

multi-party computation, private federated learning, or PII redaction

frameworks. Experience with DevOps/GitOps, CI/CD, and containerized deployment

frameworks like Kubernetes. Experience with statistical techniques for A/B

testing, distribution estimation, and sampling theory. Experience with

compliance, security protocols, and defense in depth to reduce vulnerabilities.

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?

PythonSwiftC++Backend developmentData-intensive systemsSecure multi-party computationData processing pipelinesSystem architecturePlatform engineerPrivacy-preserving machine learningA/B testingScalabilityAutomationOrchestrationMachine Learning

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