Machine Learning Engineer, Siri Global

Join the Siri Team at Apple

Build and contribute to a product and company 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.

About the Role

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.

Key Responsibilities

• Design and build world-class machine learning systems
• Create and improve the accuracy, speed, reliability, and capability of Global Siri's models and systems
• Diagnose user-facing issues and develop principled solutions across the full engineering/machine learning stack
• Engage in product metrics and goals with product managers, designers, and executives
• Mentor, motivate and challenge engineers to deliver features at high quality
• Communicate complex technical ideas to diverse audiences, including research scientists, data scientists, engineers, designers, managers, and other stakeholders across Siri and Apple

Required 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 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)
• Proficiency in scripting languages (e.g. Python, Ruby, bash)
• 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
• Software engineering experience with both server-based and client-side (e.g. on-device) models is a definite asset

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)
• Experience in localization, internationalization, machine translation, or language technologies