Sr. Software Engineer - Data, Siri Speech

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 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 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

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