ML Frameworks Engineer, Personalization

Apple Services Engineering (ASE) is seeking a talented ML Frameworks Engineer to join their Personalization ML Platform team. This role sits at the intersection of machine learning and large-scale systems engineering, focusing on building frameworks that power personalized experiences across Apple Services including the App Store, Video, and Music.

The position involves developing sophisticated ML frameworks that can operate both in cloud environments and on devices. You'll be tasked with creating cloud solutions that can handle billions of daily requests while also building device-based frameworks that operate efficiently with limited resources. This dual focus requires expertise in both distributed systems and optimization.

As part of the Services AI/ML team, you'll work alongside ML researchers, Core OS engineers, infrastructure engineers, and other technical specialists. The collaborative environment encourages knowledge sharing and creative problem-solving. Your work will directly impact how millions of users experience Apple's services while maintaining the company's commitment to privacy and data minimization.

The ideal candidate brings 5+ years of software engineering experience with a strong background in API design and framework development. Proficiency in Swift is required, along with experience in distributed computing and microservices architecture. You should be comfortable with cloud-native deployments and modern CI/CD practices. Knowledge of technologies like Java, GRPC, Cassandra, and Kafka is a plus.

This role offers competitive compensation ($166,600 - $250,600 base salary) plus equity opportunities through Apple's stock programs. Benefits include comprehensive healthcare, retirement plans, education reimbursement, and potential bonuses. Join Apple in Seattle and be part of a team that's shaping the future of personalized digital experiences at massive scale.