Overview
Imagine what you could do here. Apple is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team works with teams across Apple to develop state‑of‑the‑art privacy‑enhancing technologies for measurement and machine learning.
Description
We are looking for an experienced on‑device software engineer to join our team and help us improve privacy‑preserving technologies for Apple’s products.
Responsibilities
- Collaborate with cross‑functional engineers to design and develop end‑to‑end measurement systems that meet Apple’s industry‑leading privacy standards.
- Develop software that runs on billions of Apple devices, enabling training and evaluation of generative AI systems while preserving user privacy.
- Operate independently to solve complex problems at the intersection of privacy‑preserving technology, applied cryptography and machine learning.
- Strong interpersonal skills and the ability to influence and build consensus are essential for success in this role.
- Adaptability to new problems and systems, as you will be working across a range of technologies.
Minimum Qualifications
- Strong hands‑on experience in software development, with proficiency in one or more programming languages such as Python, Swift, or C++.
- Industry experience in iOS development or development on other embedded systems.
- Strong problem‑solving skills and creativity in finding effective solutions, with the ability to collaborate with teams across the company.
- A track record of delivering large‑scale software systems from ideation and design through production deployment and operation.
Preferred Qualifications
- Proven industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.
- Passion for protecting customer privacy.
- Experience with privacy‑enhancing technologies such as differential privacy, multi‑party computation, trusted execution environment, private federated learning, or homomorphic encryption.
- Familiarity with or exposure to machine learning model post‑training, evaluation, and inference.
Equal Employment Opportunity Statement
At Apple, we believe in treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
Accessibility Statement
At Apple, accessibility is a fundamental human right. We strive to create an inclusive environment and provide accessible digital tools to all members of our team.
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