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

Apple • Santa Clara, CA

6h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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, 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees