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JobsApple

Sr. Software Engineer, Siri Speech

Apple

Sr. Software Engineer, Siri Speech

Apple

Reedley, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Generous paid time off and holidays

401(k) matching

Competitive salary and equity package

Flexible Hours

Equity

Required Skills

Python

Node.js

React

About the Role

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. 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. Bring passion and dedication to your job and there's no telling what you could accomplish.

Do you want to be a part of Apple Intelligence, and make Siri and related products smarter for our users? The Siri Speech team focuses on voice interactions with users. By understanding and responding to the user in context, with all the nuance of human conversation, we enhance the connection with the user. In addition, we partner with teams across Apple to build exciting natural language features, like Personal Voice and Digital Narration. All of this is empowered by the latest machine learning models. Join our team, and you will have the opportunity to build features that delight millions of users every day.

Responsibilities

You will be responsible for delivering new natural language capabilities through state-of-the-art Machine Learning techniques. Use your creativity to explore how technology can lead to new user experiences. The role includes learning about new models and figuring out how to productize them to run on all Apple hardware. Design systems to support model inference with optimization, overrides and asset downloads. Build cloud-based services and develop client protocols. Analyze performance and optimize in complex multi-process environments.

Minimum Qualifications

  • MS in Computer Science, Computer Engineering, or equivalent degree, with 8+ years of industry experience
  • Experienced in iOS application development with Xcode and Swift
  • Experienced in server-side software development
  • Strong at the design of APIs and client/server protocols
  • Familiarity with deploying machine learning models in production environments
  • Excellent communication and presentation skills

Preferred Qualifications

  • Familiarity with large language models
  • Knowledge of Apple frameworks
  • Experience working in Python, C++ and Unix

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