About the role

Aplyr's Quick Take

This role is for a Senior Software Engineer focused on data engineering for Siri's speech recognition capabilities. You'll work on backend tools for managing large datasets, automate data processes, and collaborate with cross-functional teams to enhance Siri's performance. It's primarily an individual contributor role with a strong emphasis on software and data engineering.

Good fit

Ideal candidates have a solid background in Python development and experience with distributed data processing frameworks. A master's or Ph.D. in Computer Science or related fields, along with experience in speech or machine learning, will help you thrive here.

Worth noting

The role involves working with cutting-edge AI technologies and large datasets, which could be a unique opportunity for those passionate about speech recognition. However, the job may require navigating complex team dynamics across various departments at Apple.

Summary

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. By joining our team, you’ll have the opportunity to work with large and diverse datasets, iterate with research and production teams, and deliver voice based experiences to millions of users worldwide.

Description

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

Minimum Qualifications

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

Skills & Tags

data

Aplyr's read

Apple is a tech giant known for its sleek design and innovation, attracting top talent in engineering, design, and business operations.
Synthesized from recent postings & public sources

What's promising

•Apple consistently leads in tech innovation with a strong focus on design and user experience.
•The company's global brand recognition offers employees a prestigious platform for career growth.
•Apple's robust ecosystem integrates hardware, software, and services, creating diverse job opportunities.

What to watch

•High-pressure work environment with demanding deadlines can impact work-life balance.
•Apple's secretive culture may limit transparency and cross-departmental communication.
•Dependence on hardware sales makes the company vulnerable to market saturation risks.

Why Apple

•Apple's design philosophy emphasizes simplicity and elegance, setting it apart in the tech industry.
•The company has a unique retail presence with its own stores enhancing customer experience.
•Apple's closed ecosystem creates a seamless integration across its products, unmatched by competitors.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Apple

Apple

apple.com

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AAPL$295.63+1.39%

Apple Inc. is a leading technology company known for its innovative consumer electronics, software, and services. The company designs and manufactures products such as the iPhone, iPad, Mac computers, and wearables, significantly influencing the tech industry and consumer behavior worldwide.