Machine Learning Research Manager, Speech and Multimodal Modeling at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Speech Modeling, Speech Understanding, Speech Generation, Team Management, Model Development, Data Processing, Modeling, Evaluation Tooling, Cross-Functional Leadership, Applied Research, Project Development, Process Definition, Productivity Improvement, Technology Learning, Complex Project Execution

Industry

Computers and Electronics Manufacturing

Description

The Speech Team within the Siri organization drives major speech recognition, synthesis and speech to speech model changes for various features deeply embedded throughout Apple’s ecosystem. Our team owns on-device accurate and private speech recognition models across various systems on chip and hardware platforms with diverse compute restrictions, enabling prominent production user experiences. This team drives core technology advances while fulfilling major production needs, including developing speech to speech experiences and the underlying multimodal foundation model technology for current and future speech-enabled features across Apple’s software, hardware, and services ecosystem. This allows for cutting edge applied research anchored in Apple specific production needs, while improving speech interaction experiences for Apple’s customers around the world. Our technology powers speech interaction for iOS, watchOS, visionOS, macOS, tvOS, including Siri, Dictation and various speech enabled Apple Intelligence features. DESCRIPTION We are seeking an exceptional machine learning research manager with deep technical expertise and strong cross-functional leadership skills to drive applied modeling research, deliver foundational models that support large-scale project development, and contribute to advancing our data processing, modeling, and evaluation tooling. In this role, you will lead core modeling initiatives in speech understanding and speech-to-speech interactions. MINIMUM QUALIFICATIONS 5+ years of experiences working in and leading machine learning research and development Experience working on speech modeling, delivering research and production outcomes Experience with both speech understanding and generation preferred Prior experience managing a machine learning team Hands-on experiences with large scale machine learning model development Demonstrated ability to learn new technologies efficiently and apply them effectively Proven ability to define and drive processes to increase development productivity and support complex project execution PREFERRED QUALIFICATIONS Master’s degree or equivalent in Computer Science, Electrical Engineering or related fields

Responsibilities

Lead core modeling initiatives in speech understanding and speech-to-speech interactions. Drive applied modeling research and deliver foundational models that support large-scale project development.