AIML Senior Software Engineer, On-Device PriML

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 theres no telling what you could accomplish. Apple is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement u0026 Machine Learning team works with teams across Apple to develop state-of-the-art privacy-enhancing technologies for measurement and machine learning. Were looking for talented engineers to join us in this work.

We are looking for an experienced on-device software engineer to join our team and help us improve privacy-preserving technologies to Apples products.

Collaborate with cross-functional engineers to design and develop end-to-end measurement systems that meet Apples industry-leading privacy software that runs on billions of Apple devices that enable training and evaluation of generative AI systems while preserving user independently to solve complex problems at the intersection of privacy-preserving technology applied cryptography and machine learning. nSuccessful candidates must possess a strong technical background and a keen interest or experience in developing software on iOS or similar resource constrained systems. nStrong interpersonal skills and the ability to influence and build consensus are essential for success in this will be working across a range of technologies so adaptability to new problems and systems is a core skill.

Strong hands-on experience in software development with proficiency in one or more programming languages such as Python Swift experience of iOS development or experience of development on other embedded problem-solving skills creativity in finding effective solutions and the ability to collaborate with teams across the track record of delivering large-scale software systems from ideation and design through production deployment and operation.

Proven industry experience with a Bachelors degree or equivalent experience in Computer Science or a related technical for protecting customer with privacy enchancing technologies such as differential privacy multi-party computation trusted execution environment private federated learning homomorphic with or exposure to machine learning model post-training evaluating and inference.