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Machine Learning Engineer

Apple

Machine Learning Engineer

Apple

Sunnyvale, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Wellness benefits

Top Tier compensation with equity

Health, dental, and vision coverage

Required Skills

TensorFlow

Python

Airflow

Machine Learning Engineer

3 weeks ago• Sunnyvale, CA
Apply on company site

About Us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
Size: 10000+ employees

Industry: Technology, Information Technology, Software, Consumer Goods & Services

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.

Description:

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.

Preferred Qualifications

Passion for delivering high quality features to large groups of diverse end-users

Excellent communication and experience working with multi-functional teams

Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule

MS degree in computer vision, computer graphics, machine learning or related field

PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

Minimum Qualifications

Software engineering skills and proficiency in Python

Experience with Py Torch:

Independent problem solving skills

BS degree and 10+ years of experience

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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Client-provided location(s): Sunnyvale, CA

Job ID: apple-200586650-3956_rxr-660

Employment Type: OTHER

Posted: 2026-01-07T19:12:51
Apply on company site

Perks and Benefits

Health and Wellness

Parental Benefits

Work Flexibility

Office Life and Perks

Vacation and Time Off

Financial and Retirement

Professional Development

Diversity and Inclusion

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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