What are the responsibilities and job description for the Senior/Staff Software Engineer - AI, Search & Knowledge Platforms position at Apple, Inc.?
The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale.\\n\\nOur team builds AI/ML CI/CD pipelines that precompile, validate, qualify, package, and deploy all Apple Intelligence and Siri models to over half a billion end-user devices and to Private Cloud Compute inference infrastructure. As a member of the team, you would design and build the services and workflows that power the next generation of on-device and server-side AI.
Design, develop, and maintain services and orchestration workflows that validate, qualify, package, and deploy ML models to end-user devices and Private Cloud Compute servers.\nBuild and evolve the compatibility and versioning systems that target the right models to the right devices, accounting for hardware capabilities, OS versions, feature sets, locales, and inter-model dependencies.\nCollaborate with ML, OS, and platform teams to improve the end-to-end model release process from qualifying models to production deployment.
Proficient in Kotlin or Java, with strong object-oriented and functional programming skills\n5 years of experience \nExperience with containerized environments (Kubernetes, Docker)\nDemonstrated experience and ability to collaborate across large, cross-functional teams\nStrong analytical and problem-solving skills with the ability to reason about complex compatibility and dependency constraints\nB.S. in Computer Science or equivalent
Experience with gRPC, Protobuf, or similar serialization/RPC frameworks.\nExperience building CI/CD pipelines\nExperience with workflow orchestration frameworks such as Temporal or job scheduling systems\nExperience with Python for scripting, automation, or data processing\nExperience with PostgreSQL, Redis, or similar data stores in high-throughput environments
Design, develop, and maintain services and orchestration workflows that validate, qualify, package, and deploy ML models to end-user devices and Private Cloud Compute servers.\nBuild and evolve the compatibility and versioning systems that target the right models to the right devices, accounting for hardware capabilities, OS versions, feature sets, locales, and inter-model dependencies.\nCollaborate with ML, OS, and platform teams to improve the end-to-end model release process from qualifying models to production deployment.
Proficient in Kotlin or Java, with strong object-oriented and functional programming skills\n5 years of experience \nExperience with containerized environments (Kubernetes, Docker)\nDemonstrated experience and ability to collaborate across large, cross-functional teams\nStrong analytical and problem-solving skills with the ability to reason about complex compatibility and dependency constraints\nB.S. in Computer Science or equivalent
Experience with gRPC, Protobuf, or similar serialization/RPC frameworks.\nExperience building CI/CD pipelines\nExperience with workflow orchestration frameworks such as Temporal or job scheduling systems\nExperience with Python for scripting, automation, or data processing\nExperience with PostgreSQL, Redis, or similar data stores in high-throughput environments