Software Engineer, Siri Attention and Invocation

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
56 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $199k
$125k most similar roles pay here $272k

This role pays more than 57% of similar roles. Most pay $142,400–$214,850 — the shaded band above. At the midpoint, this role pays about $199k versus about $179k for comparable roles.

Based on 240 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 · Software Engineer, Siri Attention and Invocation

Join the Siri Attention and Invocation team as a Software Engineer and contribute to enhancing Siri's conversational capabilities across Apple’s device ecosystem. You will architect solutions for complex system-level challenges, develop efficient frameworks that integrate Siri audio with machine learning models, and work on latency/accuracy trade-offs to improve user experience. Collaborating closely with software engineers, machine learning experts, and hardware teams, you will drive features from prototype to production, ensuring high-quality implementations. Proficiency in C++ and Objective-C is essential, along with a deep understanding of operating systems and multi-threading. This role involves working on cutting-edge multimodal machine learning solutions that redefine how millions interact with Siri daily.

What you'll do

  • Build, maintain, and extend Siri Attention and Invocation platform on existing and new Apple devices.
  • Develop and implement logging to enhance observability of Siri features for continuous improvement.
  • Define metrics to measure the effectiveness and efficiency of Siri invocation features.
  • Collaborate with cross-functional teams to integrate and optimize Siri’s multimodal machine learning models.
  • Drive software features through full development cycles, addressing challenges from prototype to production.

What we're looking for

  • Bachelor’s degree in Computer Science, Machine Learning, Electrical Engineering, or a related field.
  • Proficiency in C++ and Objective-C for production-quality object-oriented code.
  • Strong communication skills to explain complex technical concepts clearly.
  • Curiosity about system functionality and motivation to solve intricate problems.
  • Experience with multi-threading, concurrent processing, and software performance optimization.

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