Machine Learning Engineer

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

Eeo Content

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.