Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Apple • Cupertino, CA

1d

About The Position

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.

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.

Requirements

• 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

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level