Senior/Staff Software Engineer - AI, Search & Knowledge Platforms at Apple

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jul, 26

Salary

0.0

Posted On

09 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kotlin, Java, Kubernetes, Docker, CI/CD, Machine Learning, Python, PostgreSQL, Redis, gRPC, Protobuf, Temporal, Software Engineering, System Architecture, Workflow Orchestration

Industry

Computers and Electronics Manufacturing

Description

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. Our 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. DESCRIPTION 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. Build 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. Collaborate with ML, OS, and platform teams to improve the end-to-end model release process from qualifying models to production deployment. MINIMUM QUALIFICATIONS Proficient in Kotlin or Java, with strong object-oriented and functional programming skills 5+ years of experience Experience with containerized environments (Kubernetes, Docker) Demonstrated experience and ability to collaborate across large, cross-functional teams Strong analytical and problem-solving skills with the ability to reason about complex compatibility and dependency constraints B.S. in Computer Science or equivalent PREFERRED QUALIFICATIONS Experience with gRPC, Protobuf, or similar serialization/RPC frameworks. Experience building CI/CD pipelines Experience with workflow orchestration frameworks such as Temporal or job scheduling systems Experience with Python for scripting, automation, or data processing Experience with PostgreSQL, Redis, or similar data stores in high-throughput environments

Responsibilities

Design and maintain orchestration workflows to validate, package, and deploy machine learning models to end-user devices and cloud infrastructure. Collaborate with cross-functional teams to evolve versioning systems and improve the end-to-end model release process.