Siri Screening & Triage Engineer

Cupertino, CA, US • Posted 1 day ago • Updated 11 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Innovation
  • Quality Assurance
  • Management
  • Screening
  • Reporting
  • Regression Analysis
  • Filing
  • Computer Science
  • Log Analysis
  • Scripting
  • Python
  • Bash
  • Generative Artificial Intelligence (AI)
  • Workflow
  • Git
  • Version Control
  • Communication
  • Program Management
  • Bug Tracking
  • Machine Learning (ML)
  • Artificial Intelligence
  • Data Analysis
  • Continuous Integration
  • Automated Testing
  • Swift
  • Objective-C
  • C
  • C++

Summary

Apple is where individual imaginations gather together, committing to the values that

lead to great work. Every new product we build, service we create, or experience we

deliver is the result of us making each other's ideas stronger. It's the diversity of our

people and their thinking that inspires the innovation that runs through everything we

do.

Siri ships across every Apple platform, and every bug filed against it - by engineers, by

QA, by external developers, by automated test programs - has to be read, understood,

and routed before being fixed. The Siri Screening & Triage team is the front door for

that incoming signal, working closely with the engineering, quality, and program

management partners across Engineering Operations who keep Siri's code moving

from branch to build. If you want to bring order to a high-volume, high-stakes queue

and build the tools that scale that judgment beyond what any one person could do by

hand, we want to hear from you.

Description

A successful Siri Screening & Triage Engineer treats the incoming queue as a system to

be engineered, not just a list to be worked. Siri's bug queue runs into the tens of

thousands of open reports at any time, spans dozens of components, and moves

across several release trains in flight simultaneously - screening it one ticket at a time

doesn't scale, and treating every report as equally uncertain wastes the time of

engineers waiting on a real answer. You'll read logs and repro steps, tell a genuine

regression apart from test-harness or program-generated noise, and make defensible

priority calls with incomplete information - then build the scripts, classifiers, and AI-

assisted tooling that let the rest of the team make that same call at volume. This role

sits between the people filing bugs and the people who fix them, so clear, fast

communication matters as much as the technical judgment behind it.

Minimum Qualifications

BS/MS in Computer Science or related field, or equivalent experience.

3-6 years of related industry experience.

Experience diagnosing and triaging software issues in a high-volume bug queue,

including log analysis and reproduction

Proficient in scripting languages like Python or Bash - you'll build triage tooling,

not just use it

Practical, hands-on experience applying LLM/GenAI tools to real workflows

(classification, summarization, agents) - genuine day-to-day use, not just

familiarity

Comfortable making priority and severity judgment calls under incomplete

information and deadline pressure

Experience with git or another source control system

Excellent written and verbal communication - this role interacts constantly with

engineering, quality, and program management partners across the org

Preferred Qualifications

Experience with Apple's Radar or another large-scale enterprise bug-tracking

system

Understanding of ML/AI concepts, data analytics, and pattern-finding across

large datasets

Experience building or operating CI / automated test pipelines

Swift, Objective-C, or C/C++ experience
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: c804506e335ea0d519d94dbb3ef2ccdc
  • Posted 1 day ago
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