Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Apple Inc.; Cupertino (CA); On-site; USD 129,300 - 225,300; Full time

Benefits offered by this job

Stock programs

Medical & dental coverage

Retirement benefits

Discounted products

Tuition reimbursement

Relocation support

Employee Stock Purchase Plan

Job summary

Apple Inc. in Cupertino, California, is seeking a Machine Learning Systems Engineer for Siri Runtime Systems and Interaction. You will design, implement, and optimize system software that brings ML-powered Siri experiences to life across Apple devices.

Join a collaborative team focused on production ML pipelines, model evaluation, and performance in resource-constrained environments. BS in CS, strong Swift/C++/Objective-C skills, and ML fundamentals are required; experience with Core ML,

Qualifications

• BS (or higher) in Computer Science, Machine Learning, or related disciplines.
• Strong programming skills in Swift / C++ / Objective-C.
• Solid understanding of ML concepts, model inference, and ML system design.

Responsibilities

• Integrating ML models into production software pipelines with focus on performance and reliability.
• Building and optimizing infrastructure for ML model evaluation, analysis, and deployment.
• Optimizing existing systems for ML workloads and debugging complex software-ML integration issues.
• Writing clean, maintainable production code with tests and documentation.
• Contributing to architecture decisions, design reviews, and peer code reviews.

Skills

Swift

C++

Objective-C

ML concepts

Production software

Cross-functional teamwork

Ambiguity tolerance

Education

BS in Computer Science or related

Tools

Core ML

PyTorch

TensorFlow

Job description

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Cupertino, California, United States Software and Services

The Siri Team at Apple is actively looking for a highly motivated Systems Software Engineer to contribute to and build Apple’s future technologies that power delightful Siri experiences supercharged with Apple Intelligence. The successful candidate will be a skilled software engineer with strong ML fundamentals who enjoys problem‑solving and is comfortable with designing, building, and optimizing system software that integrates machine learning capabilities. Our team builds high-quality software that powers delightful Siri-based experiences in the Apple ecosystem. We value passion for excellence and a deep commitment to building high-quality software. If you want to impact millions of customers around the world by working on the most advanced technology solutions, we want to talk to you.

Description

As a Machine Learning Systems Engineer in the Siri Group at Apple, you will work at the intersection of software engineering and machine learning, partnering with cross-functional teams to solve high-impact problems on Apple products.

Responsibilities

• Integrating ML models into production software pipelines with focus on performance and reliability
• Building and optimizing infrastructure for ML model evaluation, analysis, and deployment; collaborating with ML engineers to understand model requirements and translate them into efficient system implementations
• Optimizing existing systems for ML workloads and debugging complex software-ML integration issues
• Working cross-functionally to drive requirements from concept through feature launch
• Writing clean, maintainable production code with comprehensive documentation and tests
• Contributing to architecture decisions, design reviews, and peer code reviews
• Acting as a force-multiplier by enabling both engineering and ML team members to be more productive

Minimum Qualifications

• Strong programming skills in Swift / C++ / Objective-C
• Solid understanding of machine learning concepts, model inference, and ML system design principles
• Experience developing and optimizing algorithms that run efficiently on resource-constrained platforms
• Passionate about delivering high-quality products, comfortable with ambiguity, intellectually curious and driven to find creative solutions
• Ability to thrive in collaborative environments with multiple cross-functional teams and communicate clearly with both engineering and ML teams
• BS (or higher) in Computer Science, Machine Learning, or related disciplines

Preferred Qualifications

• Demonstrated experience building production-quality software
• Experience building ML infrastructure, evaluation pipelines, or training systems
• Familiarity with ML frameworks (Core ML, PyTorch, TensorFlow) and model optimization techniques

At Apple, 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 $129,300 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s 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 at Apple, 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 Apple Benefits.

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

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.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.