Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$126,800–$220,900 / yr
Posted
99 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $219k
This role $174k
$110k most similar roles pay here $282k

This role pays less than 85% of similar roles. Most pay $192,000–$246,150 — the shaded band above. At the midpoint, this role pays about $174k versus about $219k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Join the Siri Team at Apple as a Machine Learning Systems Engineer, where you will contribute to cutting-edge technologies that power delightful Siri experiences. This role involves integrating machine learning models into production software pipelines with a focus on performance and reliability, building and optimizing infrastructure for ML model evaluation and deployment, and collaborating closely with ML engineers to translate model requirements into efficient system implementations. You will optimize existing systems for ML workloads, debug complex issues, and drive feature development from concept through launch. Essential skills include strong programming in Swift, C++, or Objective-C, a solid understanding of machine learning concepts, and experience developing algorithms for resource-constrained platforms. Familiarity with frameworks like Core ML, PyTorch, and TensorFlow is preferred. This position offers the opportunity to impact millions of users by working on advanced technology solutions within a collaborative environment at Apple.

What you'll do

  • Integrate ML models into production pipelines focusing on performance and reliability.
  • Build and optimize infrastructure for evaluating, analyzing, and deploying ML models.
  • Collaborate with ML engineers to translate model requirements into efficient system implementations.
  • Optimize existing systems for ML workloads and debug complex software-ML integration issues.
  • Write clean, maintainable production code with comprehensive documentation and tests.

What we're looking for

  • Strong programming skills in Swift, C++, or Objective-C
  • Solid understanding of machine learning concepts and system design principles
  • Experience developing and optimizing algorithms for resource-constrained platforms
  • Ability to work collaboratively with cross-functional teams and communicate effectively
  • BS or higher degree in Computer Science, Machine Learning, or related fields
  • Experience building production-quality software and ML infrastructure

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