Machine Learning Video Process Engineer

**Role Number:** 200646252-0836

**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 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.

**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:

**Minimum Qualifications**

+ Minimum requirement of a bachelors degree

+ Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields

+ Knowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences.

+ Programming skills and hands-on experience with Python and deep learning frameworks such as PyTorch

**Preferred Qualifications**

+ PhD or Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields

+ Knowledge of low-level vision algorithms such as spatial and temporal image/video 
scaling, noise reduction, etc.

+ Background in digital signal and image processing


+ Publication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR)

+ Excellent independent problem-solving skills


+ Excellent written and oral communication skills

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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