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.
Description
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.
Responsibilities include, but not limited to:
- Develop, implement, and optimize machine learning based video processing algorithms
- 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 tasks
Minimum Qualifications
BS 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++
Preferred Qualifications
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
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: 511c240f5a5725d53d06aa55486b999b
- Posted 30+ days ago
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