Sr. Software Engineer, Siri Speech

Join the team redefining what a deeply personal and integrated assistant can be.

As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.

This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

Description

Apple Intelligence has a transformative impact on our customers worldwide, and the Speech team is at the forefront of this technology revolution. As a software engineer on the Siri speech team, you will be an important member of a diverse and passionate group of engineers and scientists dedicated to building the foundational technologies that power meaningful experiences across Apple's ecosystem, from Siri, dictation, and captioning to accessibility features and third-party apps.

We are seeking an exceptional Sr. Software Engineer to lead the design and development of the next-generation Speech-to-Text APIs. In this role, you will be at the intersection of software engineering, machine learning, and product design. You will drive the technical strategy to integrate cutting-edge ML and generative AI capabilities into elegant, scalable, developer-friendly APIs.

This is a highly technical role requiring strong technical leadership and the ability to partner effectively across teams and functions.

Minimum Qualifications

Software engineering experience with strong programming skills in Swift and/or Objective-C (5+ years)

Experience utilizing Swift to build well-documented, easy-to-use APIs

Strong software architecture skills

Demonstrated experience planning and delivering software projects with and for cross-functional teams

Outstanding communication skills

Preferred Qualifications

Bachelors degree in Computer Science or other equivalent technical field

Background in building applications on constrained hardware systems (limited memory, processing, and power)

Experience integrating speech recognition or other machine learning technologies