Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

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

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

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

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

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 $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.