채용
Benefits & Perks
•Flexible work arrangements
•Team events and activities
•Professional development budget
•Parental leave
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•Flexible Hours
•Learning
•Parental Leave
•Healthcare
Required Skills
React
JavaScript
Python
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
Apple's Camera Algorithm team is looking for extraordinary algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple products' cameras! As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Image Signal Processor (ISP) or Apple Neural Engine. Here you will have the chance to define the way the Apple camera captures, processes, and renders outstanding still image and video quality. Our close-knit team champions an environment of product innovation, rapid product iteration, and collaboration, at both team and multi-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, like Silicon Design, Camera HW, and QA. Our team environment is dynamic, fast-paced and requires a self-starter demeanor.
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Description:
You will engage in one or more of following tasks in order to improve the Apple cameras' video and image quality:
-
Develop new ISP processing algorithms and control algorithms.
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Develop algorithms to correct various camera sensor and lens effects.
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Tune various ISP blocks to improve image and video quality.
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Setup pixel pipelines effectively for various requirements on quality and power/performance.
Preferred Qualifications
Self-driven approach to work and focused on time sensible practices, from problem identification to prototyping solutions and validation.
Experience with design, control and/or tuning of an ISP pipeline.
Understanding of the various trade-offs involved in defining the image quality coming out of an ISP pipeline.
Minimum Qualifications
Deep understanding of image signal processing for digital cameras.
Good understanding of camera sensors and optics.
Proven experience in camera imaging algorithm development, using a mix of traditional image processing techniques and machine learning.
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 .
Client-provided location(s): Cupertino, CA
Job ID: apple-200625163-0836_rxr-660
Employment Type: OTHER
Posted: 2026-01-07T19:12:53
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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
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
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
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