Collaborate with cross-functional engineers to design and develop end-to-end measurement systems that meet Apple's industry-leading privacy standards.
Operate independently to solve complex problems at the intersection of privacy-preserving technology, applied cryptography and machine learning.
Develop data processing systems that enable training and evaluation of generative AI systems while preserving user privacy.
Successful candidates must possess a strong technical background and a keen interest or experience in iOS development, particularly in designing privacy-preserving features. Strong interpersonal skills and the ability to influence and build consensus are essential for success in this role. Since you'll be working with various technologies, adaptability to new challenges and systems is a fundamental skill.
Proficiency in one or more object-oriented programming languages such as C++, Objective-C, Swift.
Industry experience of iOS development, or experience of development on other embedded systems.
Knowledge of basic privacy, security and cryptographic principles.
Ability to analyze system architecture and assess privacy & security impacts and suggest mitigations.
Proficiency in problem-solving, coupled with creativity in identifying effective solutions, and the ability to collaborate effectively within a cross-functional team.
2+ years of 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 differential privacy, secure multi-party computation, trusted compute environment or private federated learning.
Previous experience in developing security- and privacy-oriented protocols or systems, or experience in designing cryptographic algorithms.
Experience with training, evaluating, and deploying machine learning models to production.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.