Machine Learning Engineer, Siri Global

Apple

Cupertino, CA

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JOB DETAILS

SKILLS

A/B Testing, Academic Research, Algorithms, Apple, Apple Macs, Apple Siri, Apple iPad, Apple iPhone, Bash Scripting, C++ Programming Language, Communication Skills, Computer Science, Cross-Functional, Data Analysis, Data Modeling, Data Science, Deep Learning, Diving, Ecosystems, Engineering, Engineering Management, Identify Issues, Internationalization, Interpersonal Skills, Java, Large-Scale Systems, Leadership, Localization, Machine Learning, Machine Translation, Mentoring, Metrics, Modeling Languages, Multitasking, Natural Language Processing (NLP), Object Oriented Programming (OOP) Languages, Objective-C Programming Language, Problem Solving Skills, Product Design, Product Development, Product Engineering, Publications, Python Programming/Scripting Language, Ruby, Scientific Research, Scripting (Scripting Languages), Software Design, Software Engineering, Statistics, Swift, Technical Leadership, Time Management, Training Data Sets, iOS

LOCATION

Cupertino, CA

POSTED

4 days ago

**Role Number:** 200669919-0836 **Summary** Join the Siri team at Apple! Build and contribute to a product and company that that is building products, personal devices, and software designed to enrich people’s lives. Work on building and advancing the world’s most popular intelligent assistant that helps millions of people get things done — just by asking. Global Siri works to take Siri to the next level of intelligence and capabilities in all languages and markets. We build machine learning models, systems, and software that understands the intents hundreds of millions of users and their billions of requests to Siri, on Apple devices such as iPhone, iPad, Apple Watch, Mac, AirPods, HomePod, Vision Pro and Apple TV. On the Global Scaling, Data, and Tools team, we work on ML modeling and algorithms, data platforms and technologies, and end-to-end ML product engineering to surprise and delight customers around the world in the languages that they speak. **Description** We seek a Machine Learning Engineer / Tech Lead who is passionate about collaborating across teams in Siri and Apple to design, build, and deploy world-class machine learning systems that help Siri best serve the needs of our users. In this role, you will work on creating and improving the accuracy, speed, reliability, and capability of Global Siri’s models and systems. We are particularly interested in “full-stack” machine learning engineers with strong experience in research, software engineering, and have strong leadership potential. You should be passionate about building outstanding products, and using the full spectrum of your skills to drive technical and organizational advancements. The ideal candidate is equally comfortable with the latest academic/research advancements in ML, LLMs, NLP, and related areas, diving into all parts of the full engineering/machine learning stack to diagnose user-facing issues and develop principled solutions, and deeply engaging in product metrics and goals with product managers, designers, and executives. Software engineering experience with both server-based and client-side (e.g. on-device) models is a definite asset. In this role, the ability to communicate complex technical ideas to diverse audiences, including research scientists, data scientists, engineers, designers, managers, and other stakeholders across Siri and Apple is also essential. This position involves a wide variety of skills and innovation. In addition to your individual technical contributions, there are immense opportunities to multiply the impact those around you by mentoring, motivating and challenging engineers to deliver features at high quality. If you are looking for a role that is challenging, impactful, has immense growth opportunities, this role is for you. **Minimum Qualifications** + Master's or PhD degree in computer science, software engineering, machine learning, language technologies, or related fields; outstanding candidates with Bachelor's degrees and multiple years years of significant engineering/product experience will also be considered + 10+ years of experience developing, shipping, and measuring industry-scale machine learning-based software systems; experience working on large-scale NLU systems a strong asset. + Experience as a senior engineer, tech lead, or engineering manager for a machine learning-based product, including mentoring other engineers, working with program and product managers, and communicating accomplishments, metrics, and challenges to cross-functional stakeholders and leaders + Expertise and experience in Large Language Models (LLMs) or other foundation models, ideally demonstrated through publications or shipping foundation model-based features and products. + Strong background in machine learning, deep learning, and foundation models, as demonstrated through top-tier publications and/or successful development of training data, models, or software in commercial machine learning systems. + Excellent software engineering skills: Proficiency in at least one object-oriented language (e.g. Java, C++, Objective-C, or Swift), scripting languages (e.g. Python, Ruby, bash), and deep learning/machine learning frameworks (e.g. TensorFlow, PyTorch, or CoreML) + Outstanding problem solving, critical thinking, creativity, organizational, design, and interpersonal skills; ability to work with all levels of engineers, scientists, designers, and communicate effectively with management, leadership, and cross-functional partners **Preferred Qualifications** + Experience in data science and analytics, including data annotation, statistical analyses, A/B testing, and/or conducting experiments and investigations in large-scale usage data environments + Self-starter with a proven ability to handle multiple projects with strict deadlines + Experience in the iOS development ecosystem (e.g. Swift, Objective-C, CoreML, or SiriKit) is a plus + Experience in localization, internationalization, machine translation, or language technologies is an asset

About the Company

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Computer/IT Services

FOUNDED

1976

WEBSITE

https://www.apple.com/jobs

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