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Machine Learning Engineer, Siri Runtime Systems and Interaction

Apple

Machine Learning Engineer, Siri Runtime Systems and Interaction

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Learning and development stipend

Parental leave program

Wellness benefits

Required Skills

TensorFlow

SQL

Airflow

About the Role

We are a group of engineers working on making Siri more intelligent and intuitive to interact with. We focus on innovating multimodal machine learning solutions that improve the experience for our users. We adapt our technologies based on various sensors available on different hardware products and make them run efficiently. We collaborate with various teams at Apple to deploy these innovative solutions to our products.

Responsibilities

As a member of the team you will be responsible for researching and developing innovative ML solutions for challenging problems that will meaningfully affect how users interact with Siri on Apple products. You will be looking at the user experience we want to deliver, define the optimization metrics and propose solutions to achieve the goal. You will bring these innovations to life by working collaboratively with partner teams to take them all the way to production. You are self-motivated, excellent problem solver with strong execution. You are good at building relationships and work well with change and ambiguity. You have strong programming skills with tried experience prototyping and converting ideas into reality.

Minimum Qualifications

  • Passionate about building extraordinary products
  • Excellent problem solving, critical thinking, and interpersonal skills
  • Excellent programming and debugging skills
  • In-depth expertise in developing machine learning models
  • Expertise in common ML frameworks (Tensor Flow, Py Torch, JAX)

Preferred Qualifications

  • PhD or MSc in Computer Science, Computer Engineering or a closely related field
  • Proven industry experience in building ML-based production features
  • Experience in optimizing machine learning models for efficient inference on device
  • Industry experience in implementing and training multimodal LLM or VLM
  • Expertise in one or more of computer vision, audio signal processing and motion signal processing

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

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0 reports

$121,979

total / year

Base

-

Stock

-

Bonus

-

$103,682

$140,276

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