AIML - Senior software engineer - Evaluation

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 is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team collaborates with various departments across the company to develop state-of-the-art privacy-enhancing technologies for privacy-preserving measurement and machine learning. We are seeking an exceptional candidate to join our esteemed team in this field.

Description

We are looking for an experienced software engineer to join our team and help us develop privacy-preserving technologies for measurement and machine learning.

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.","responsibilities":"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.

Preferred Qualifications

Passion for protecting customer privacy.

Industry experience of iOS development, or experience of development on other embedded systems.

Experience with differential privacy, secure multi-party computation, trusted compute environment or private federated learning.

Experience with training, evaluating, and deploying machine learning models to production.

Minimum Qualifications

Proficiency in one or more object-oriented programming languages such as C++, Objective-C, Swift.

Knowledge of basic privacy, security and cryptographic principles.

Ability to analyze system architecture and assess privacy & security impacts and suggest mitigations.