Machine Learning Systems Engineer
Apple
Machine Learning Systems Engineer
Apple
Designs phones, computers and their operating systems
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.
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
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
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.
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
Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.
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