Machine Learning Video Processing Engineer

Apple Inc.
Cupertino, CA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Apple Products Computer Vision Computer Engineering Python (Programming Language) Machine Learning Video Editing Information Technology

Job description

Imagine the impact of your work - technologies you help create will be experienced by over a billion people every day. At Apple, you’ll have the opportunity to contribute to products that consistently set industry standards and, at times, redefine the world. Our team is responsible for developing the core image and video technologies used in nearly all Apple products and services. We are seeking a motivated and adaptable Machine Learning Video Processing Engineer who thrives in technically challenging environments and is eager to push the boundaries of innovation. We are seeking a Machine Learning Engineer to help develop Apple’s next-generation video processing algorithms. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning-based image and video processing technologies that power both current and future Apple products., * Develop, implement, and optimize machine learning based video processing algorithms

Requirements

Machine Learning, Video Processing, Apple, Machine Learning, Industry Standards, Video Processing, Algorithms, Image Processing, Data Collection, Analysis Skills, * Contribute to data collection, curation, analysis and processing for algorithm training and evaluation

  • Research and evaluate state-of-the-art learning-based methods for low-level vision tasksBS and a minimum of 3 years relevant industry experience Hands on experience on image/video processing, machine learning and computer vision Programming skills in Python, Java, or C/C++PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc) Excellent written and oral communication skills

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