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Machine Learning Video Processing Algorithm Engineer

Sunnyvale, CA, US • Posted 60+ days ago • Updated 7 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Algorithms
Microsoft Excel
Management
Analytical Skill
Data Compression
Machine Learning (ML)
Video
Python
C
C++
Computer Science
Electrical Engineering
Neural Network
Computer Hardware
GPU Computing
CUDA
Communication

Summary

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 5 years 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90733111
Position Id: 30499392f00f1b53b8ece2a0e068de16
Posted 30+ days ago

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