Machine Learning Engineer, Generative AI & Privacy Technologies (Privacy-Preserving) – SIML, ISE

Apple's System Intelligent and Machine Learning Engineering group is seeking an experienced machine learning engineer to revolutionize privacy-preserving machine learning systems. This role focuses on building and deploying cutting-edge systems that leverage strong cryptographic protocols and privacy-preserving technologies.

The position involves working at the intersection of Generative AI and privacy technologies, where you'll be responsible for developing solutions that scale to billions of devices while maintaining strict security standards. You'll work with technologies including homomorphic encryption, differential privacy, secure multi-party computation, and federated learning, while also dealing with Retrieval Augmented Generation and Knowledge Graphs.

As a Machine Learning Engineer in this role, you'll be tasked with making crucial design decisions that balance performance, security, and scalability. You'll need to demonstrate deep technical expertise in both AI systems and privacy-preserving technologies, while being able to clearly communicate complex technical concepts to various stakeholders.

The role offers competitive compensation, including a base salary range of $175,800 to $264,200, plus additional benefits such as stock options, comprehensive healthcare, and education reimbursement. You'll be working at Apple's Cupertino location, contributing to mission-critical projects that impact millions of users while maintaining Apple's high standards for privacy and security.

This is an opportunity to work at the forefront of privacy-preserving AI technology, helping to shape how machine learning can be implemented securely at scale while protecting user privacy. You'll be part of a team that values innovation, collaboration, and technical excellence, working on projects that have real-world impact while maintaining the highest standards of privacy and security.