Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Cupertino, CA, US • Posted 30+ days ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Problem Solving
  • Conflict Resolution
  • Software Engineering
  • Swift
  • C++
  • Objective-C
  • Systems Design
  • Algorithms
  • Computer Science
  • Evaluation
  • Training
  • Machine Learning (ML)
  • PyTorch
  • TensorFlow
  • Optimization

Summary

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.

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 7f162bde3ee0c3e5293f127e363007f5
  • Posted 30+ days ago
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