採用
Benefits & Perks
•Flexible PTO policy
•Top Tier compensation with equity
•Remote work flexibility
•Learning and development stipend
•Wellness benefits
Required Skills
SQL
PyTorch
TensorFlow
Computer Vision and Machine Learning Engineer
3 weeks ago• Sunnyvale, CA
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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
The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and Face Kit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing.
We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day.
Description:
We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product.
In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and resonate with our users at a personal level.
Preferred Qualifications
Swift is a plus
Be able to work independently and with others
Excellent problem-solving, critical thinking, and communication skills
Passion for cutting edge AI and spatial computing technologies and product delivery
Minimum Qualifications:
Proficient in C/C++, CUDA or other GPGPU
Expertise in at least one deep learning framework, eg: Py Torch, Tensor Flow, or Jax
Solid foundation in 3D graphics and computer vision
Understanding of machine learning technology
Bachelor degree and a minimum of 3 years relevant industry 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-200585934-3956_rxr-660
Employment Type: OTHER
Posted: 2026-01-07T19:12:51
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About Apple

Apple
PublicA 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
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