Sr. Software Development Engineer - Data, Siri Speech

Apple • Cambridge, MA

12h

About The Position

The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management. In this role you will - Implement backend tools for Speech data warehouses including cataloging the entire collection of Speech Data - Automate speech data annotation that runs on a self-serve platform - Deploy and implement LLM-based chatbots to make the unified speech warehouse queryable and actionable (such as derived dataset creation) via natural language - Automate onboarding of new speech datasets from various sources onto a unified speech warehouse for easier discoverability and inclusion in training and evaluation of Siri - Collaborate with other Data and infrastructure teams across Apple to implement querying and speech dataset creation improvements

Requirements

• Deep expertise in Python software development, CI/CD, unit and integration testing
• Distributed data processing tools and frameworks (Beam, Spark, Dask, Ray)
• Strong software engineering abilities in Python

Nice To Haves

• M.S. or Ph.D. degree in Computer Science, or equivalent experience
• Strong data engineering background in speech and/or language/text/dialogue processing field
• Speech and/or Machine Learning experience a plus
• Real passion for building research demo data solution prototypes and turning them into production quality design/implementation
• Strong interpersonal skills to work well with engineering teams
• Excellent problem solving and critical thinking
• Ability to work in a fast-paced environment with rapidly changing priorities
• Passionate about building extraordinary products and experiences for our users

Responsibilities

• Implement backend tools for Speech data warehouses including cataloging the entire collection of Speech Data
• Automate speech data annotation that runs on a self-serve platform
• Deploy and implement LLM-based chatbots to make the unified speech warehouse queryable and actionable (such as derived dataset creation) via natural language
• Automate onboarding of new speech datasets from various sources onto a unified speech warehouse for easier discoverability and inclusion in training and evaluation of Siri
• Collaborate with other Data and infrastructure teams across Apple to implement querying and speech dataset creation improvements

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level