Machine Learning Video Processing Engineer

Apple Inc.
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Computer Engineering
Noise Reduction
Python
Machine Learning
Video Editing
PyTorch
Deep Learning
Information Technology

Job description

We are looking for a Machine Learning Video Processing Engineer who will join us to build Apple's next-generation video processing algorithms. In this role, you will identify and develop machine leaning solutions and work closely within a dynamic team to optimize and productize those features. Your responsibilities include, but not limited to

Requirements

Minimum requirement of a bachelors degree\nMasters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields\nKnowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences. \nProgramming skills and hands-on experience with Python and deep learning frameworks such as PyTorch

PhD or Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields\nKnowledge of low-level vision algorithms such as spatial and temporal image/video scaling, noise reduction, etc. \nBackground in digital signal and image processing\nPublication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR)\nExcellent independent problem-solving skills\nExcellent written and oral communication skills

About the company

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 potentially change the world! The Video Engineering team at Apple is responsible for creating the image and video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated individual to fill in the position of Machine Learning Video Processing Engineer.

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