We are looking for passionate Machine Learning Engineers to join us in developing and shipping innovative technology to advance Siri for Apple’s customers. Siri is being elevated by the huge opportunities that AI brings. The team is responsible for training and evaluating approaches, opening up the boundaries with the latest research developments, and ultimately delivering product critical models for Siri. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented engineers, and work on meaningful, challenging and novel problems.
Description
The Siri team is driving the next wave of innovation in large-scale systems, speech technologies, and state-of-the-art LLMs to shape the future of conversational AI. With generative models transforming how people learn, work, and create, Siri is at the center of bringing these breakthroughs to hundreds of millions of users worldwide. Joining our team means working alongside exceptional talent to build features that make technology more helpful, personal, and accessible — all through the simplicity of conversation.
As a machine learning engineer on the team, you will play a key role in the team’s impact and development. You will have responsibilities ranging from machine learning for data exploration, advanced statistical modeling, tuning and adapting deep learning models, and evaluating their performance. You will apply innovative machine learning methods and statistical analysis to continually advance Siri’s capabilities.
At Apple, you will work closely with diverse, cross-functional teams spanning software, research, and product development. You will play a key role in shaping system architecture, designing data-processing pipelines, evaluating model performance, and participating in code reviews. The ideal candidate will possess a strong passion for applied machine learning, top-notch software engineering skills, and a drive to deliver results. Our team is at the forefront of cutting-edge machine learning technology, constantly striving to create exceptional products for our customers. If this opportunity excites you, we look forward to receiving your application.
Minimum Qualifications
Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience
5-7+ years experience in Machine Learning
Experience in developing, training/tuning large generative models or LLMs
Proficient programming skills in Python
Hands-on experience developing machine learning systems: defining and creating metrics and datasets, training models and error triage
Excellent communication: strong interpersonal, verbal and written skills
Preferred Qualifications
Software development experience with voice assistant systems.
Experience creating and maintaining large scale, robust machine learning processes for use in a multi-person team
Experience shipping and improving machine learning models in a production environment
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
