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Machine Learning Video Processing Algorithm Engineer at Apple
Cupertino, California, United States -
Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Video Processing, Image Processing, Signal Processing, Programming, Python, C++, Neural Networks, GPGPU, CUDA, Metal, Analytic Skills, Creative Skills, Compression Technologies

Industry

Computers and Electronics Manufacturing

Description
Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple, you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! Our group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill in the position of machine learning video processing engineer. DESCRIPTION In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. This position requires a highly self-directed engineer with strong creative and analytic skills and passion for video processing and compression technologies. MINIMUM QUALIFICATIONS BS and a minimum of 10 years of relevant industry experience. Solid background in Machine Learning and Signal/Image/Video Processing. Excellent programming skills in Python or C/C++ PREFERRED QUALIFICATIONS Ph.D Degree in Computer Science, Electrical Engineering or related major Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc) Experience of deploying neural network to hardware. Experience with GPGPU APIs, preferably Metal, CUDA Excellent written and oral communication skills.
Responsibilities
Develop machine learning based image/video processing technologies for current and future Apple products. Collaborate with Apple engineers in a dynamic team environment.