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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Software Engineer - Data, Siri Speech - **Company:** Apple Inc. - **Location:** Cambridge, MA, United States - **Experience:** Expert - **Salary:** $147,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Unit Testing, Continuous Integration, Information Engineering, Data Warehousing, Distributed Computing Environment, Distributed Data Store, Python (Programming Language), Machine Learning, Natural Language Processing, Software Engineering, Speech Recognition, Data Processing, Chatbots, Large Language Models, Apache Spark, Siri, Backend, Information Technology, Dask - **Published:** June 4, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27734460/Sr-Software-Engineer-Data-Siri-Speech-Massachusetts-Cambridge-7413 ## About the Role 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 Preferred Qualifications 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 ## Description Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition and generation models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional "data processing" and "model training". Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprecedented volumes of data., 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 ## Related Videos - [Lessons from Steve Jobs - Learnings from the Past for the Future](https://www.wearedevelopers.com/videos/1021-lessons-from-steve-jobs-learnings-from-the-past-for-the-future) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Xcode development redefAIned](https://www.wearedevelopers.com/videos/100195-xcode-development-redefained) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)