Senior Machine Learning Engineer, Siri

We are looking for passionate Machine Learning Engineers to join us in developing and shipping innovative technology to advance Siri for 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, 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. By joining the team, you will work with highly talented engineers, and work on meaningful, challenging and novel problems.

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. 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.

• 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

• 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

Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Employees also have the opportunity to become a shareholder through participation in discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit awards, and can purchase stock at a discount if voluntarily participating in Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Benefits.

Note: Benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

This 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.