Machine Learning Systems Engineer, Siri Runtime Systems And Interaction

Machine Learning Systems Engineer, Siri Runtime Systems And Interaction

Cupertino, California, United States

Software And Services

Posted: Mar 03, 2026

Weekly Hours: 40

Role Number: 200649481

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

Optimization of 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

Pay & Benefits

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 $126,800 and $220,900, 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.

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.