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 pioneer privacy-preserving machine learning systems. This role presents an exciting opportunity to work at the intersection of Computer Vision, Machine Learning, and privacy technologies, directly impacting how millions of people interact with their devices.

The position focuses on developing cutting-edge privacy-preserving Generative AI technologies that will be deployed across billions of devices. You'll be at the forefront of combining advanced AI techniques like Retrieval Augmented Generation and Knowledge Graphs with sophisticated privacy technologies including homomorphic encryption, differential privacy, and federated learning.

As a Senior Machine Learning Engineer, you'll be responsible for researching, designing, and implementing provably-secure protocols for mission-critical problems. The role requires a deep understanding of both technical implementation and security guarantees, allowing you to make and communicate crucial system-level tradeoffs effectively.

The ideal candidate will thrive in Apple's collaborative, fast-paced environment, working closely with partner teams to drive innovation in privacy-preserving AI. You'll have the opportunity to shape the future of secure AI systems at scale, while ensuring optimal performance across memory, power, and latency constraints.

This 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 educational support. You'll be part of a team that's transforming how privacy and AI coexist in modern technology, making a direct impact on Apple's vision for secure, intelligent systems.

Join Apple's elite team of ML engineers and help build the next generation of privacy-first AI technologies that will enhance and protect the lives of users worldwide. This is your chance to work on groundbreaking technology while maintaining the highest standards of user privacy and security.