refresh

热门公司

Trending

招聘

JobsApple

Research Engineer - Video Tone Mapping

Apple

Research Engineer - Video Tone Mapping

Apple

Cupertino, CA

·

On-site

·

Full-time

·

5d ago

Required Skills

Python

Machine Learning

Apple's Camera Algorithm team is looking for extraordinary engineers and researchers interested in developing next generation of image capture, processing and rendering algorithms to be used across all Apple product cameras! As part of the team you will research and develop novel ways to improve the image and video quality of Apple's camera systems. In order to reduce the computational complexity of your methods you are encouraged to take advantage of Apple silicon technologies such as the Image Signal Processor (ISP) or the Apple Neural Engine (ANE). The Camera Algorithm Tone Mapping team works at the intersection of software and hardware, developing real time algorithms required for camera operation, and has major impact on the final image and video quality! The team has a history of delivering solutions running on Apple products, for example Smart HDR, HDR video tone mapping or Apple Log encoding. This interdisciplinary team works closely with many other groups including silicon design, camera hardware and camera software teams to deliver industry leading consumer imaging devices. The work environment champions innovation, rapid iteration and awards independence and creativity in solving engineering problems.

Description:

As an algorithm developer you will be responsible for crafting the creative look of videos captured with Apple cameras by developing capture side tone mapping algorithms. You will drive algorithm development across all stages of the cycle; from the initial idea and proof of concept work through on-device implementation all the way to field testing, validation and finally surprising and delighting our customers.","responsibilities":"Prototype novel tone mapping algorithms in high level software languages such as Matlab or Python.

Implement, test and refine developed approaches in Apple products to meet image quality expectations and satisfy code execution time criteria.

Collaborate with hardware design teams on developing new image processing blocks improving image quality.

Influence the artistic look of Apple cameras across different product categories (phones, portables, tablets), and modalities (video and still capture, playback).

Define and develop feature proposals for different use cases targeting consumer and professional markets.

Preferred Qualifications:

Familiarity with a digital camera image processing pipeline and the Image Signal Processor (ISP).

Understanding of image quality metrics and subjective evaluations.

Proven knowledge of HDR encoding standards.

Prior experience with professional video content postproduction and color grading workflows.

Curiosity about vision science and/or color science.

Programming skills in C/C++.

Exposure to machine learning algorithms.

Passion for photography and videography.

Minimum Qualifications:

MS and a minimum of 10 years relevant industry experience.

Track record of developing image processing algorithms for example: auto white balance, tone mapping, auto exposure and high dynamic range capture.

Validated coding skills in Python or MATLAB.

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 .

Pay & Benefits:

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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