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Software Engineer, Siri Attention and Invocation

Apple

Software Engineer, Siri Attention and Invocation

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Generous paid time off and holidays

401(k) matching

Team events and activities

Competitive salary and equity package

Professional development budget

Parental leave

Equity

Learning

Parental Leave

Required Skills

PostgreSQL

Node.js

React

Apple

  • Siri Attention and Invocation Software Engineer

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 Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

About the Team

Join the Siri Attention and Invocation team and play a part in the next revolution of Siri interaction. We are a group of engineers dedicated to making Siri an exceptional conversational partner and an attentive listener, focusing on innovative multimodal machine learning solutions that enhance user experiences across Apple's entire device ecosystem. Here, you'll do more than join something—you'll contribute something meaningful to a technology that helps millions of people get things done, just by asking.

Siri Attention and Invocation's Platform team is seeking a passionate software engineer to shape the foundational platform on new hardware. Our team develops the platform that powers Siri's natural and conversational features across all Apple devices and operating systems. In this role you will architect elegant solutions to complex system-level challenges, solve critical issues across the technical stack, and help make critical decisions that will define user experience.

You will work with software engineers, machine learning engineers, and scientists across technical areas spanning the full range of Siri's capabilities. You will work with exciting new hardware; and closely partner with silicon, firmware, hardware, and software teams to explore strategic intersection areas, and build Siri features that work seamlessly creating unique, powerful and secure user experiences. While this role involves working with hardware, your focus will be on higher-level software - not on firmware or embedded systems development.

About the Role

You'll join a team that develops the front door to Siri experience. As a software engineer you will be developing and maintaining the on-device platform that powers Siri features aimed at making Siri attentive and conversational.

Your day-to-day will involve developing an efficient framework that will integrate Siri audio, and support run-time execution of various machine learning models that are at the core of a Siri interaction.

You will develop algorithms and run experiments aimed at improving Siri invocation, and make latency/accuracy trade-offs that directly affect user experience.

You'll drive software features across the full development cycle - from prototype to production - each phase presenting distinct challenges and learning opportunities.

As part of a fast-moving, intellectually curious team, you'll play a key role in reimagining how millions of people interact with Siri.

Responsibilities

  • Build, maintain and extend Siri Attention and Invocation platform on shipping and new Apple devices
  • Develop new Siri Invocation features, and maintain shipping features
  • Define metrics, implement logging to improve observability of Siri features
  • Partner with Siri Data and cross functional partner teams to enhance Siri user experience
  • Work closely with Siri Quality teams to ensure high-quality features are shipped

Minimum Qualifications

  • Bachelor's degree in CS, ML, EE/EECS or related field
  • Proficiency in writing production quality object-oriented code (C++, Objective C)
  • Excellent written and verbal communication; ability to distill and explain complex technical concepts to diverse audiences
  • Naturally curious about how systems work and motivated to solve complex problems

Preferred Qualifications

  • Master's degree in CS, ML, EE/EECS or related field
  • Programming experience with Swift
  • Deep understanding of operating system fundamentals
  • Expertise in multi-threading, concurrent processing, software performance and optimization

Equal Opportunity

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Industrial Designer L2

0 reports

$320,450

total / year

Base

$128,180

Stock

$160,225

Bonus

$32,045

$224,315

$416,585

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit