Sr. Machine Learning Engineer, Siri Global

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 Senior 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