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.

The position involves working at the intersection of Computer Vision, Machine Learning, and privacy technologies, directly impacting how millions of people interact with and share their most precious moments. You'll be at the forefront of implementing privacy-preserving Generative AI technologies that will be deployed across billions of devices at scale.

As a Machine Learning Engineer in this role, you'll be responsible for researching, designing, and implementing provably-secure protocols for mission-critical problems. The work involves deep expertise in Retrieval Augmented Generation, Knowledge Graphs, and Search/Retrieval systems, combined with privacy technologies like homomorphic encryption, differential privacy, secure multi-party computation, and federated learning.

You'll be making crucial decisions about system architecture, balancing tradeoffs between memory, power, and latency while ensuring both feasibility and scalability. The role requires not just technical expertise, but also the ability to communicate complex ideas effectively and collaborate with various partner teams in a fast-paced environment.

At Apple, you'll be part of a team that's pushing the boundaries of what's possible in privacy-preserving AI, working on technologies that will be used by millions while maintaining the highest standards of user privacy and security. The position offers competitive compensation, comprehensive benefits, and the opportunity to work on groundbreaking technologies that will shape the future of AI and privacy.